Shadow Fox ASUS System Product Name
Geekbench AI Score
5534
Single Precision Score
2211
Half Precision Score
10061
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jiashu |
| Upload Date | March 14 2026 07:04 PM |
| Views | 8 |
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. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | High performance |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4137
769.3 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.0 IPS |
|
|
Image Classification (Q)
|
99% |
8657
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10691
173.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7777
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6696
7.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
28354
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
4256
337.6 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
86% |
9011
724.2 IPS |
|
|
Face Detection (SP)
|
100% |
11693
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
2270
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
11394
135.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10585
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3031
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
21562
172.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20407
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15931
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31618
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3097
114.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6831
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1106
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1838
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4611
92.7 IPS |
