ASUS System Product Name
Geekbench AI Score
3808
Single Precision Score
1829
Half Precision Score
6555
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheGazelleTV |
| Upload Date | September 11 2024 04:23 PM |
| Views | 7 |
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% |
2276
423.2 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (Q)
|
99% |
5788
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4290
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6079
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5358
6.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
27060
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
802
63.7 IPS |
|
|
Object Detection (Q)
|
88% |
2955
236.9 IPS |
|
|
Face Detection (SP)
|
100% |
4198
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
2040
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
6485
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7534
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2764
21.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
11120
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15788
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14448
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30149
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4534
167.9 IPS |
|
|
Text Classification (SP)
|
100% |
2587
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2178
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3436
76.6 IPS |
