ASUS System Product Name
Geekbench AI Score
2763
Single Precision Score
1300
Half Precision Score
3455
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | felixalex2025 |
| Upload Date | June 01 2025 04:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B460M-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2581
480.0 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
96% |
4380
817.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2042
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4646
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4756
5.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
10893
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.4 IPS |
|
|
Object Detection (Q)
|
58% |
2402
262.4 IPS |
|
|
Face Detection (SP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
964
11.5 IPS |
|
|
Face Detection (Q)
|
96% |
5553
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6460
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1825
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8813
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12129
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11554
14.9 IPS |
|
|
Style Transfer (Q)
|
87% |
8549
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2360
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2019
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2726
101.0 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
485
649.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (Q)
|
68% |
1877
36.3 IPS |
