ASUS System Product Name
Geekbench AI Score
11408
Single Precision Score
11386
Half Precision Score
32814
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 05:18 PM |
| Views | 5 |
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. ROG STRIX B650E-I GAMING WIFI |
| 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% |
9227
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9269
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
22218
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7982
129.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8162
132.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25625
415.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11994
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12048
14.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
54116
63.4 IPS |
|
|
Object Detection (SP)
|
100% |
7937
629.6 IPS |
|
|
Object Detection (HP)
|
100% |
7508
595.5 IPS |
|
|
Object Detection (Q)
|
88% |
23060
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
15488
184.0 IPS |
|
|
Face Detection (HP)
|
100% |
15067
179.0 IPS |
|
|
Face Detection (Q)
|
100% |
55451
658.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16120
124.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17002
131.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
59428
462.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33746
43.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33015
42.4 IPS |
|
|
Style Transfer (Q)
|
98% |
151605
195.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8508
314.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8703
321.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32704
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
7203
9.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6972
9.31 KIPS |
|
|
Text Classification (Q)
|
92% |
9621
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
10317
177.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10429
179.6 IPS |
|
|
Machine Translation (Q)
|
100% |
12961
223.3 IPS |
