ASUS System Product Name
Geekbench AI Score
7323
Single Precision Score
7335
Half Precision Score
19616
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | anindya32 |
| Upload Date | October 26 2025 03:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 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-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4716
877.1 IPS |
|
|
Image Classification (HP)
|
100% |
4748
883.0 IPS |
|
|
Image Classification (Q)
|
100% |
12545
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5306
86.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5136
83.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14211
230.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8480
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
8502
9.92 IPS |
|
|
Pose Estimation (Q)
|
98% |
33690
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
4369
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
4370
346.6 IPS |
|
|
Object Detection (Q)
|
88% |
12972
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
11093
131.8 IPS |
|
|
Face Detection (HP)
|
100% |
11145
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
32781
389.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10733
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10792
83.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
34013
264.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23758
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23916
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
89099
114.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5404
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5377
198.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17220
637.7 IPS |
|
|
Text Classification (SP)
|
100% |
4275
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4339
5.79 KIPS |
|
|
Text Classification (Q)
|
92% |
6116
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
7328
126.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7418
127.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10349
178.3 IPS |
