ASUS System Product Name
Geekbench AI Score
5868
Single Precision Score
2428
Half Precision Score
10887
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Veles_VR |
| Upload Date | November 28 2025 01:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A WIFI II |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4897
910.7 IPS |
|
|
Image Classification (HP)
|
100% |
919
171.0 IPS |
|
|
Image Classification (Q)
|
99% |
9193
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2614
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11525
187.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8660
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7274
8.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
29767
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
4607
365.4 IPS |
|
|
Object Detection (HP)
|
100% |
1192
94.6 IPS |
|
|
Object Detection (Q)
|
86% |
9478
761.7 IPS |
|
|
Face Detection (SP)
|
100% |
10593
125.9 IPS |
|
|
Face Detection (HP)
|
100% |
2395
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
12782
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11724
90.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3257
25.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
20713
165.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21764
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17283
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34544
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3145
116.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7594
281.2 IPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2151
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3707
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5240
105.3 IPS |
