ASUS System Product Name
Geekbench AI Score
5620
Single Precision Score
1865
Half Precision Score
9064
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | June 03 2025 01:16 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4547
845.6 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.2 IPS |
|
|
Image Classification (Q)
|
99% |
8040
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4405
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9929
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4955
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
32749
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4104
325.5 IPS |
|
|
Object Detection (HP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (Q)
|
86% |
8067
648.3 IPS |
|
|
Face Detection (SP)
|
100% |
11511
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
2175
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
12573
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12982
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2556
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19266
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22588
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12112
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32570
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2505
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5946
220.2 IPS |
|
|
Text Classification (SP)
|
100% |
1966
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2036
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2850
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4189
84.2 IPS |
