ASUS System Product Name
Geekbench AI Score
4119
Single Precision Score
1798
Half Precision Score
9261
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 06:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| 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% |
2381
442.9 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (Q)
|
99% |
8004
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2273
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9933
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5633
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
24072
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2946
233.7 IPS |
|
|
Object Detection (HP)
|
100% |
843
66.9 IPS |
|
|
Object Detection (Q)
|
86% |
7804
627.2 IPS |
|
|
Face Detection (SP)
|
100% |
8090
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10583
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7382
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2476
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18500
147.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13916
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11349
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31117
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2410
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6559
242.9 IPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1726
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1100
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4506
90.5 IPS |
