ASUS System Product Name
Geekbench AI Score
2004
Single Precision Score
2197
Half Precision Score
1643
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 06:43 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 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 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% |
691
128.5 IPS |
|
|
Image Classification (HP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (Q)
|
100% |
685
127.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6707
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
10988
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
6018
7.05 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (Q)
|
87% |
702
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
2284
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2274
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
2113
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3810
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4623
35.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3341
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11407
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16553
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10049
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2839
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2143
79.4 IPS |
|
|
Text Classification (SP)
|
100% |
738
985.5 IPS |
|
|
Text Classification (HP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
514
689.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
70% |
621
11.7 IPS |
