System manufacturer System Product Name
Geekbench AI Score
2861
Single Precision Score
731
Half Precision Score
3304
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 03:37 AM |
| 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 | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
97% |
2997
559.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
2266
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7458
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5656
6.60 IPS |
|
|
Pose Estimation (Q)
|
87% |
17413
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
86% |
1594
128.2 IPS |
|
|
Face Detection (SP)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (Q)
|
96% |
3625
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6655
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
861
6.63 IPS |
|
|
Depth Estimation (Q)
|
76% |
7221
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16718
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14439
18.6 IPS |
|
|
Style Transfer (Q)
|
87% |
18810
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2007
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1867
68.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2693
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
519
693.0 IPS |
|
|
Text Classification (Q)
|
97% |
362
484.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
60% |
1715
38.3 IPS |
