Gigabyte Technology Co., Ltd. TRX50 AERO D
Geekbench ML Score
26203
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 03:11 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| L1 Instruction Cache | 32.0 KB x 24 |
| L1 Data Cache | 32.0 KB x 24 |
| L2 Cache | 1.00 MB x 24 |
| L3 Cache | 32.0 MB x 4 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11032
2.06 KIPS |
|
|
Image Classification (F16)
|
100% |
11891
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
10252
1.92 KIPS |
|
|
Image Segmentation (F32)
|
100% |
20746
346.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
20346
339.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
18776
313.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
233730
283.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
232147
281.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
209104
253.2 IPS |
|
|
Object Detection (F32)
|
100% |
7646
570.8 IPS |
|
|
Object Detection (F16)
|
100% |
7423
554.2 IPS |
|
|
Object Detection (I8)
|
56% |
7223
539.2 IPS |
|
|
Face Detection (F32)
|
100% |
41158
489.4 IPS |
|
|
Face Detection (F16)
|
100% |
42628
506.9 IPS |
|
|
Face Detection (I8)
|
89% |
36483
433.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
67455
523.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
65572
508.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
54158
420.0 IPS |
|
|
Style Transfer (F32)
|
100% |
337429
443.9 IPS |
|
|
Style Transfer (F16)
|
100% |
335829
441.8 IPS |
|
|
Style Transfer (I8)
|
98% |
302313
397.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51130
1.83 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
48679
1.74 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38690
1.38 KIPS |
|
|
Text Classification (F32)
|
100% |
2899
4.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2899
4.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1842
2.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
5533
101.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5546
102.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2985
54.9 IPS |
