ASUS System Product Name
Geekbench AI Score
10518
Single Precision Score
10463
Half Precision Score
25183
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 15 2025 08:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-E GAMING WIFI |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5813
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
5769
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
14870
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7636
123.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7824
126.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20532
332.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17839
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18028
21.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
70575
82.6 IPS |
|
|
Object Detection (SP)
|
100% |
6523
517.4 IPS |
|
|
Object Detection (HP)
|
100% |
6485
514.4 IPS |
|
|
Object Detection (Q)
|
88% |
15858
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
14933
177.4 IPS |
|
|
Face Detection (HP)
|
100% |
14935
177.5 IPS |
|
|
Face Detection (Q)
|
100% |
39072
464.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17827
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17503
134.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
51152
398.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45617
58.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45355
58.3 IPS |
|
|
Style Transfer (Q)
|
98% |
168050
216.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9270
342.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9372
346.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26675
987.9 IPS |
|
|
Text Classification (SP)
|
100% |
4277
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
92% |
4871
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6666
114.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6703
115.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6882
118.5 IPS |
