Gigabyte Technology Co., Ltd. TRX50 AERO D
Geekbench ML Score
3578
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2024 03:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AERO D |
| Power Plan | High 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1074
200.9 IPS |
|
|
Image Classification (F16)
|
100% |
1061
198.5 IPS |
|
|
Image Classification (I8)
|
99% |
2264
423.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1821
30.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1748
29.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3569
59.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
20157
24.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
17938
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
43696
52.9 IPS |
|
|
Object Detection (F32)
|
100% |
1362
101.7 IPS |
|
|
Object Detection (F16)
|
100% |
1364
101.8 IPS |
|
|
Object Detection (I8)
|
62% |
1050
78.4 IPS |
|
|
Face Detection (F32)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (F16)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (I8)
|
89% |
3433
40.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
9062
70.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9597
74.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12857
99.7 IPS |
|
|
Style Transfer (F32)
|
100% |
22018
29.0 IPS |
|
|
Style Transfer (F16)
|
100% |
22842
30.0 IPS |
|
|
Style Transfer (I8)
|
98% |
32051
42.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1644
58.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1599
57.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2497
89.2 IPS |
|
|
Text Classification (F32)
|
100% |
968
1.39 KIPS |
|
|
Text Classification (F16)
|
100% |
972
1.40 KIPS |
|
|
Text Classification (I8)
|
98% |
1002
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
2022
37.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1992
36.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3744
68.9 IPS |
