ASUS System Product Name
Geekbench AI Score
4957
Single Precision Score
1712
Half Precision Score
8695
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 22 2026 10:53 AM |
| Views | 15 |
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% |
4190
779.3 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (Q)
|
99% |
7063
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10910
177.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8573
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
3935
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
29222
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3562
282.6 IPS |
|
|
Object Detection (HP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (Q)
|
86% |
7368
592.1 IPS |
|
|
Face Detection (SP)
|
100% |
9640
114.5 IPS |
|
|
Face Detection (HP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11283
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10854
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2286
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17329
138.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19332
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10968
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20898
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2192
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6190
229.2 IPS |
|
|
Text Classification (SP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1615
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3648
73.3 IPS |
