System manufacturer System Product Name
Geekbench AI Score
5822
Single Precision Score
5874
Half Precision Score
7778
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 10:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-P |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3436
639.0 IPS |
|
|
Image Classification (HP)
|
100% |
3471
645.6 IPS |
|
|
Image Classification (Q)
|
100% |
5257
977.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4907
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4872
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7650
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7907
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
8739
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
18838
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
3848
305.2 IPS |
|
|
Object Detection (HP)
|
100% |
3854
305.7 IPS |
|
|
Object Detection (Q)
|
87% |
6219
498.8 IPS |
|
|
Face Detection (SP)
|
100% |
9525
113.2 IPS |
|
|
Face Detection (HP)
|
100% |
9019
107.2 IPS |
|
|
Face Detection (Q)
|
97% |
18145
216.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9334
71.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9554
73.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
17409
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25374
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24960
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
50018
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5155
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9567
354.4 IPS |
|
|
Text Classification (SP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2638
3.52 KIPS |
|
|
Text Classification (Q)
|
91% |
392
526.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2937
50.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2905
50.0 IPS |
