Generic
Geekbench ML Score
2528
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 12:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock TRX40 Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 32 Cores |
| L1 Instruction Cache | 32.0 KB x 32 |
| L1 Data Cache | 32.0 KB x 32 |
| L2 Cache | 512 KB x 32 |
| L3 Cache | 16.0 MB x 8 |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1036
193.9 IPS |
|
|
Image Classification (F16)
|
100% |
1026
191.9 IPS |
|
|
Image Classification (I8)
|
97% |
1836
343.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1107
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1076
18.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1973
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16124
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
15570
18.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14928
18.1 IPS |
|
|
Object Detection (F32)
|
100% |
1213
90.6 IPS |
|
|
Object Detection (F16)
|
100% |
1202
89.8 IPS |
|
|
Object Detection (I8)
|
60% |
833
62.2 IPS |
|
|
Face Detection (F32)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (F16)
|
100% |
2183
26.0 IPS |
|
|
Face Detection (I8)
|
87% |
2816
33.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6620
51.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6674
51.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
9505
73.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19664
25.9 IPS |
|
|
Style Transfer (F16)
|
100% |
17678
23.3 IPS |
|
|
Style Transfer (I8)
|
85% |
18488
24.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1794
64.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2078
74.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2015
72.0 IPS |
|
|
Text Classification (F32)
|
100% |
756
1.09 KIPS |
|
|
Text Classification (F16)
|
100% |
664
954.6 IPS |
|
|
Text Classification (I8)
|
94% |
278
399.5 IPS |
|
|
Machine Translation (F32)
|
100% |
952
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
990
18.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1625
29.9 IPS |
