ASUS System Product Name
Geekbench AI Score
412
Single Precision Score
252
Half Precision Score
644
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | abookmb |
| Upload Date | April 19 2026 03:38 PM |
| Views | 4 |
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. PRIME H610M-K D4 |
| Power Plan | Balanced |
| 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% |
171
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
99% |
309
57.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
467
7.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
1326
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1038
1.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
1960
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
92
7.26 IPS |
|
|
Object Detection (Q)
|
86% |
305
24.5 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (Q)
|
97% |
791
9.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
585
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
323
2.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
868
6.93 IPS |
|
|
Style Transfer (SP)
|
100% |
3041
3.91 IPS |
|
|
Style Transfer (HP)
|
100% |
2721
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3374
4.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
223
8.23 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
433
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
134
178.6 IPS |
|
|
Text Classification (HP)
|
100% |
72
96.2 IPS |
|
|
Text Classification (Q)
|
97% |
272
364.2 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.04 IPS |
|
|
Machine Translation (Q)
|
65% |
526
10.6 IPS |
