ASUS All Series
Geekbench AI Score
3861
Single Precision Score
1457
Half Precision Score
3191
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | February 09 2025 10:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-5960X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-DELUXE II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5960X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3102
576.8 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.6 IPS |
|
|
Image Classification (Q)
|
96% |
3118
582.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
1775
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7358
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5628
6.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
7515
8.88 IPS |
|
|
Object Detection (SP)
|
100% |
2984
236.7 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (Q)
|
58% |
1939
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (Q)
|
96% |
6138
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8769
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2011
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7671
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15653
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12532
16.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13454
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2617
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2279
84.5 IPS |
|
|
Text Classification (SP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.7 IPS |
|
|
Text Classification (Q)
|
97% |
486
651.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1956
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1938
37.4 IPS |
