ASUS System Product Name
Geekbench AI Score
3764
Single Precision Score
1687
Half Precision Score
6887
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 09:01 PM |
| Views | 1 |
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. TUF GAMING B650M-E |
| Power Plan | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3467
644.8 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.6 IPS |
|
|
Image Classification (Q)
|
99% |
8657
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3761
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6893
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
5691
6.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
25440
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3110
246.6 IPS |
|
|
Object Detection (HP)
|
100% |
826
65.5 IPS |
|
|
Object Detection (Q)
|
86% |
8107
651.6 IPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
9998
119.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8520
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2602
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7324
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15051
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13411
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22969
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2223
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3324
123.1 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1889
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2163
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3388
68.1 IPS |
