ASUS System Product Name
Geekbench AI Score
3417
Single Precision Score
789
Half Precision Score
4203
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 01:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2179
405.2 IPS |
|
|
Image Classification (HP)
|
100% |
156
28.9 IPS |
|
|
Image Classification (Q)
|
99% |
3903
728.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
2701
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6509
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4185
4.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
21110
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2239
177.6 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
88% |
2072
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
299
3.55 IPS |
|
|
Face Detection (Q)
|
97% |
3953
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7392
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
918
7.07 IPS |
|
|
Depth Estimation (Q)
|
76% |
8714
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15525
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10859
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20446
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4069
150.7 IPS |
|
|
Text Classification (SP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
702
936.6 IPS |
|
|
Text Classification (Q)
|
97% |
590
790.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2210
49.3 IPS |
