System manufacturer System Product Name
Geekbench AI Score
3012
Single Precision Score
763
Half Precision Score
3480
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | The-Idle-Crow |
| Upload Date | August 15 2024 07:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
97% |
3158
589.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
2350
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8290
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5598
6.53 IPS |
|
|
Pose Estimation (Q)
|
87% |
17977
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (Q)
|
86% |
1645
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
2764
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
96% |
3979
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7482
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
955
7.36 IPS |
|
|
Depth Estimation (Q)
|
76% |
7829
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18975
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15142
19.5 IPS |
|
|
Style Transfer (Q)
|
87% |
17895
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1713
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2990
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.1 IPS |
|
|
Text Classification (Q)
|
97% |
367
491.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (Q)
|
60% |
1941
43.3 IPS |
