ASUS System Product Name
Geekbench AI Score
3917
Single Precision Score
1517
Half Precision Score
8569
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 22 2026 10:45 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660-PLUS WIFI D4 |
| Power Plan | Hj ydeevne |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4240
788.4 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
99% |
7069
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10867
176.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8513
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3997
4.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
29357
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3569
283.1 IPS |
|
|
Object Detection (HP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (Q)
|
86% |
7220
580.3 IPS |
|
|
Face Detection (SP)
|
100% |
9045
107.5 IPS |
|
|
Face Detection (HP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
11409
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10840
83.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2195
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17095
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19765
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10856
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19005
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6071
224.8 IPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1672
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3486
70.0 IPS |
