Generic
Geekbench ML Score
3252
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 06:26 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X470 Master SLI/ac |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1378
257.8 IPS |
|
|
Image Classification (F16)
|
100% |
1433
268.2 IPS |
|
|
Image Classification (I8)
|
97% |
3211
600.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1818
30.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1667
27.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
2306
38.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8598
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
7465
9.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
15215
18.4 IPS |
|
|
Object Detection (F32)
|
100% |
1470
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
1403
104.7 IPS |
|
|
Object Detection (I8)
|
60% |
1605
119.8 IPS |
|
|
Face Detection (F32)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (F16)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (I8)
|
87% |
3551
42.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6927
53.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7250
56.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
11636
90.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17671
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
18986
25.0 IPS |
|
|
Style Transfer (I8)
|
85% |
17848
23.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2452
87.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2909
103.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3439
122.8 IPS |
|
|
Text Classification (F32)
|
100% |
1305
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1281
1.84 KIPS |
|
|
Text Classification (I8)
|
94% |
375
539.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2120
39.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2074
38.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2676
49.2 IPS |
