ASUS System Product Name
Geekbench AI Score
7055
Single Precision Score
7036
Half Precision Score
9272
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | SoulRipper |
| Upload Date | January 25 2025 11:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VII HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3942
733.1 IPS |
|
|
Image Classification (HP)
|
100% |
3953
735.2 IPS |
|
|
Image Classification (Q)
|
100% |
5969
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5743
93.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5374
87.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9664
157.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12062
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12048
14.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
27145
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
4255
337.5 IPS |
|
|
Object Detection (HP)
|
100% |
4354
345.3 IPS |
|
|
Object Detection (Q)
|
87% |
6965
558.6 IPS |
|
|
Face Detection (SP)
|
100% |
10445
124.1 IPS |
|
|
Face Detection (HP)
|
100% |
10452
124.2 IPS |
|
|
Face Detection (Q)
|
97% |
22877
272.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12262
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12182
93.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
22929
181.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34296
44.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34462
44.3 IPS |
|
|
Style Transfer (Q)
|
98% |
75466
97.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6649
245.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6653
245.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13167
487.7 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (Q)
|
91% |
272
365.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3045
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3027
52.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3039
52.4 IPS |
