ASUS System Product Name
Geekbench AI Score
3773
Single Precision Score
1824
Half Precision Score
6639
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheGazelleTV |
| Upload Date | September 11 2024 05:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
99% |
6187
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4317
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5577
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5233
6.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
26324
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (Q)
|
88% |
2715
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
4264
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
2052
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
6297
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7588
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2759
21.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
11662
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14474
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13382
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30511
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2752
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2430
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4828
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2130
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3787
84.5 IPS |
