System manufacturer System Product Name
Geekbench AI Score
7142
Single Precision Score
7049
Half Precision Score
9027
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 01:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
4074
757.6 IPS |
|
|
Image Classification (HP)
|
100% |
4051
753.3 IPS |
|
|
Image Classification (Q)
|
100% |
6242
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5871
95.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5715
92.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9991
162.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11665
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11740
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
23510
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
4488
356.0 IPS |
|
|
Object Detection (HP)
|
100% |
4477
355.2 IPS |
|
|
Object Detection (Q)
|
87% |
7118
570.9 IPS |
|
|
Face Detection (SP)
|
100% |
10718
127.4 IPS |
|
|
Face Detection (HP)
|
100% |
10711
127.3 IPS |
|
|
Face Detection (Q)
|
97% |
22593
269.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11698
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11421
88.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
21226
167.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33867
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33867
43.5 IPS |
|
|
Style Transfer (Q)
|
98% |
64841
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6718
248.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6771
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11768
435.9 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (Q)
|
91% |
313
420.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3009
51.8 IPS |
