ASUS System Product Name
Geekbench AI Score
5494
Single Precision Score
1943
Half Precision Score
9712
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | billybobsmoot |
| Upload Date | January 13 2026 07:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4605
856.3 IPS |
|
|
Image Classification (HP)
|
100% |
757
140.8 IPS |
|
|
Image Classification (Q)
|
99% |
7582
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11725
190.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9253
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5165
6.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
32267
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4183
331.8 IPS |
|
|
Object Detection (HP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (Q)
|
86% |
7912
635.9 IPS |
|
|
Face Detection (SP)
|
100% |
12284
146.0 IPS |
|
|
Face Detection (HP)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
11880
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11779
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2737
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19437
155.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21861
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12667
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31963
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2360
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6629
245.5 IPS |
|
|
Text Classification (SP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1742
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2619
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3860
77.6 IPS |
