ASUS System Product Name
Geekbench AI Score
1979
Single Precision Score
2164
Half Precision Score
1619
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | quarantadue |
| Upload Date | January 09 2026 03:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650E MAX GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (HP)
|
100% |
661
123.0 IPS |
|
|
Image Classification (Q)
|
100% |
682
126.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1010
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6668
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
10943
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5988
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
87% |
699
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
1930
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3805
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4508
34.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3317
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11395
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16475
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9983
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2119
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
747
996.8 IPS |
|
|
Text Classification (HP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
516
691.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (Q)
|
70% |
617
11.6 IPS |
