ASUS System Product Name
Geekbench AI Score
6123
Single Precision Score
6168
Half Precision Score
14450
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AndyTung |
| Upload Date | October 07 2025 04:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI II |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4135
768.9 IPS |
|
|
Image Classification (HP)
|
100% |
4213
783.5 IPS |
|
|
Image Classification (Q)
|
100% |
9320
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5614
91.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5527
89.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10272
166.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6579
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
22355
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
3164
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
2348
186.2 IPS |
|
|
Object Detection (Q)
|
88% |
9718
779.0 IPS |
|
|
Face Detection (SP)
|
100% |
7115
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
10711
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
22249
264.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9755
75.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9043
69.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
24112
187.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21815
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24122
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
83181
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15995
592.3 IPS |
|
|
Text Classification (SP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5331
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5273
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5105
87.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5018
86.4 IPS |
