System manufacturer System Product Name
Geekbench AI Score
5825
Single Precision Score
5864
Half Precision Score
8005
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lida289 |
| Upload Date | December 15 2025 02:34 AM |
| Views | 7 |
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 (WI-FI) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3353
623.6 IPS |
|
|
Image Classification (HP)
|
100% |
3443
640.3 IPS |
|
|
Image Classification (Q)
|
100% |
5586
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4900
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4946
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8602
139.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9804
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9710
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
23226
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
3720
295.1 IPS |
|
|
Object Detection (HP)
|
100% |
3685
292.3 IPS |
|
|
Object Detection (Q)
|
87% |
6430
515.7 IPS |
|
|
Face Detection (SP)
|
100% |
8231
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
8483
100.8 IPS |
|
|
Face Detection (Q)
|
97% |
18311
218.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9536
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9998
77.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
19899
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30553
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29124
37.4 IPS |
|
|
Style Transfer (Q)
|
98% |
64273
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5080
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5477
202.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11056
409.5 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (Q)
|
91% |
249
335.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2330
40.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2338
40.3 IPS |
