ASUS System Product Name
Geekbench AI Score
14173
Single Precision Score
14148
Half Precision Score
35810
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 06:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B850M AYW GAMING OC WIFI7 W |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9441
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
9296
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
22446
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9858
159.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9840
159.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25836
418.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18439
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18493
21.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
73122
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
8715
691.3 IPS |
|
|
Object Detection (HP)
|
100% |
8724
692.0 IPS |
|
|
Object Detection (Q)
|
88% |
23711
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
19669
233.7 IPS |
|
|
Face Detection (HP)
|
100% |
19823
235.5 IPS |
|
|
Face Detection (Q)
|
100% |
56420
670.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21604
166.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21111
162.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67098
522.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50821
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50997
65.6 IPS |
|
|
Style Transfer (Q)
|
98% |
188225
242.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11732
433.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11733
433.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34291
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
7121
9.50 KIPS |
|
|
Text Classification (HP)
|
100% |
7138
9.53 KIPS |
|
|
Text Classification (Q)
|
92% |
9413
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
12124
208.8 IPS |
|
|
Machine Translation (HP)
|
100% |
12188
209.9 IPS |
|
|
Machine Translation (Q)
|
100% |
14996
258.3 IPS |
