System manufacturer System Product Name
Geekbench AI Score
4005
Single Precision Score
1470
Half Precision Score
6107
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | addiepie79 |
| Upload Date | May 22 2025 07:14 PM |
| Views | 9 |
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 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3065
570.0 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
96% |
5922
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
3148
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8912
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7624
8.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
20720
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
3101
246.0 IPS |
|
|
Object Detection (HP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (Q)
|
58% |
4796
524.1 IPS |
|
|
Face Detection (SP)
|
100% |
6253
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (Q)
|
96% |
9646
115.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9232
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2272
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14492
115.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18217
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18443
23.7 IPS |
|
|
Style Transfer (Q)
|
87% |
21385
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2195
81.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3177
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.3 IPS |
|
|
Text Classification (Q)
|
97% |
1345
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
3050
58.9 IPS |
