ASUS System Product Name
Geekbench AI Score
2966
Single Precision Score
1430
Half Precision Score
5161
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| Upload Date | November 08 2025 03:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2682
498.7 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
99% |
7459
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2509
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4713
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4120
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
20732
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
5323
427.8 IPS |
|
|
Face Detection (SP)
|
100% |
5042
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
9324
111.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6171
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2197
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8249
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11376
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10258
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23539
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3134
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
706
941.7 IPS |
|
|
Text Classification (Q)
|
97% |
421
564.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2113
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2718
54.6 IPS |
