ASUS System Product Name
Geekbench AI Score
4438
Single Precision Score
4470
Half Precision Score
6778
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 01:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B460-PRO (WI-FI) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2992
556.5 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.3 IPS |
|
|
Image Classification (Q)
|
100% |
4822
896.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3032
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2985
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4906
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6525
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
13332
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (HP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (Q)
|
87% |
4767
382.3 IPS |
|
|
Face Detection (SP)
|
100% |
3736
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
4058
48.2 IPS |
|
|
Face Detection (Q)
|
97% |
12631
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7623
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7582
58.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
13043
103.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18596
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18801
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37340
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3573
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3609
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7746
286.9 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (Q)
|
91% |
1000
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2860
49.3 IPS |
