ASUS All Series
Geekbench AI Score
1881
Single Precision Score
1855
Half Precision Score
2386
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 09:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4790K CPU @ 4.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VII RANGER |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1045
194.3 IPS |
|
|
Image Classification (HP)
|
100% |
1277
237.6 IPS |
|
|
Image Classification (Q)
|
100% |
1566
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1493
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2404
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2494
2.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
3503
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
998
79.2 IPS |
|
|
Object Detection (HP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (Q)
|
87% |
1160
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
1731
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
4344
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3596
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3418
26.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
4323
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8720
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8587
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10275
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2057
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1562
2.08 KIPS |
|
|
Text Classification (Q)
|
91% |
1038
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1617
27.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1529
26.3 IPS |
