ASUS System Product Name
Geekbench AI Score
9517
Single Precision Score
7586
Half Precision Score
6938
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | DAnaselo |
| Upload Date | July 10 2025 01:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H410M-E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600KF |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3784
703.8 IPS |
|
|
Image Classification (HP)
|
100% |
3544
659.1 IPS |
|
|
Image Classification (Q)
|
99% |
3105
579.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6566
106.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5468
88.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5574
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39267
45.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24555
28.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
35240
41.3 IPS |
|
|
Object Detection (SP)
|
100% |
4795
380.3 IPS |
|
|
Object Detection (HP)
|
100% |
4521
358.6 IPS |
|
|
Object Detection (Q)
|
83% |
3995
322.8 IPS |
|
|
Face Detection (SP)
|
100% |
11254
133.7 IPS |
|
|
Face Detection (HP)
|
100% |
9402
111.7 IPS |
|
|
Face Detection (Q)
|
97% |
9628
114.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23751
183.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17531
135.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17375
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
71132
91.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49157
63.2 IPS |
|
|
Style Transfer (Q)
|
98% |
60285
77.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14481
534.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10813
399.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9113
337.5 IPS |
|
|
Text Classification (SP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1210
1.61 KIPS |
|
|
Text Classification (Q)
|
97% |
957
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2771
47.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1206
22.6 IPS |
