ASUS All Series
Geekbench AI Score
2597
Single Precision Score
1122
Half Precision Score
2319
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 09:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-5820K |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-PRO/USB 3.1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5820K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.1 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
1155
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2863
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3664
4.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
4955
5.86 IPS |
|
|
Object Detection (SP)
|
100% |
2097
166.3 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (Q)
|
58% |
1432
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
4376
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (Q)
|
96% |
4345
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5473
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1570
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5164
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10550
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8041
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
9581
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1897
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1696
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
1181
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.4 IPS |
|
|
Text Classification (Q)
|
97% |
411
550.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (Q)
|
68% |
1682
32.5 IPS |
