Gigabyte Technology Co., Ltd. TRX50 AERO D
Geekbench ML Score
25168
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 01 2024 03:55 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter Evaluation (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Power Plan | Balanced |
| 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% |
11168
2.09 KIPS |
|
|
Image Classification (F16)
|
100% |
12064
2.26 KIPS |
|
|
Image Classification (I8)
|
100% |
10393
1.94 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19115
319.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
19462
325.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
18646
311.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
234774
284.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
234900
284.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
206763
250.4 IPS |
|
|
Object Detection (F32)
|
100% |
7036
525.3 IPS |
|
|
Object Detection (F16)
|
100% |
7096
529.8 IPS |
|
|
Object Detection (I8)
|
56% |
6640
495.7 IPS |
|
|
Face Detection (F32)
|
100% |
39598
470.8 IPS |
|
|
Face Detection (F16)
|
100% |
39549
470.2 IPS |
|
|
Face Detection (I8)
|
89% |
33890
403.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
66236
513.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
65944
511.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
53888
417.9 IPS |
|
|
Style Transfer (F32)
|
100% |
338888
445.8 IPS |
|
|
Style Transfer (F16)
|
100% |
343632
452.0 IPS |
|
|
Style Transfer (I8)
|
98% |
296712
390.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38330
1.37 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
36580
1.31 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
30927
1.10 KIPS |
|
|
Text Classification (F32)
|
100% |
3078
4.42 KIPS |
|
|
Text Classification (F16)
|
100% |
3092
4.44 KIPS |
|
|
Text Classification (I8)
|
98% |
1931
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
5272
97.0 IPS |
|
|
Machine Translation (F16)
|
100% |
5377
98.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2962
54.5 IPS |
