Generic
Geekbench ML Score
1939
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 16 2025 01:55 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X399 Phantom Gaming 6 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 2990WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 32 Cores |
| L1 Instruction Cache | 64.0 KB x 32 |
| L1 Data Cache | 32.0 KB x 32 |
| L2 Cache | 512 KB x 32 |
| L3 Cache | 8.00 MB x 8 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
794
148.6 IPS |
|
|
Image Classification (F16)
|
100% |
792
148.2 IPS |
|
|
Image Classification (I8)
|
97% |
1307
244.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
662
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
663
11.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1499
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8167
9.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
8218
9.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
7824
9.47 IPS |
|
|
Object Detection (F32)
|
100% |
886
66.2 IPS |
|
|
Object Detection (F16)
|
100% |
884
66.0 IPS |
|
|
Object Detection (I8)
|
60% |
779
58.2 IPS |
|
|
Face Detection (F32)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (F16)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (I8)
|
87% |
2383
28.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4067
31.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4128
32.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
6552
50.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15182
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15354
20.2 IPS |
|
|
Style Transfer (I8)
|
85% |
12938
17.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1862
66.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1887
67.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1623
58.0 IPS |
|
|
Text Classification (F32)
|
100% |
571
820.7 IPS |
|
|
Text Classification (F16)
|
100% |
572
821.5 IPS |
|
|
Text Classification (I8)
|
94% |
484
695.4 IPS |
|
|
Machine Translation (F32)
|
100% |
957
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
939
17.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1404
25.8 IPS |
