ASUS System Product Name
Geekbench AI Score
3785
Single Precision Score
1827
Half Precision Score
6606
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheGazelleTV |
| Upload Date | September 11 2024 05:44 PM |
| Views | 2 |
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% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
650
121.0 IPS |
|
|
Image Classification (Q)
|
99% |
6302
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4274
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6175
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
5073
5.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
27398
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (Q)
|
88% |
2542
203.7 IPS |
|
|
Face Detection (SP)
|
100% |
4222
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
2061
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
6337
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7330
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2722
21.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11712
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14678
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13597
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31032
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2596
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4729
175.1 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2033
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3815
85.1 IPS |
