ASUS System Product Name
Geekbench AI Score
5816
Single Precision Score
2409
Half Precision Score
10851
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Veles_VR |
| Upload Date | November 28 2025 02:49 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% |
4891
909.5 IPS |
|
|
Image Classification (HP)
|
100% |
927
172.3 IPS |
|
|
Image Classification (Q)
|
99% |
9049
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1212
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11540
187.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8507
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
29877
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
4584
363.6 IPS |
|
|
Object Detection (HP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (Q)
|
86% |
9288
746.5 IPS |
|
|
Face Detection (SP)
|
100% |
10635
126.4 IPS |
|
|
Face Detection (HP)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
12819
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11354
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3276
25.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
21196
169.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21956
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17082
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33943
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3570
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2972
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7469
276.6 IPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1318
1.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2150
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5277
106.0 IPS |
