ASUS All Series
Geekbench AI Score
3818
Single Precision Score
1400
Half Precision Score
3126
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | December 10 2024 08:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6900K |
| 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 i7-6900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3097
576.0 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
96% |
3050
569.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
1717
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7274
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5343
6.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
7346
8.68 IPS |
|
|
Object Detection (SP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (Q)
|
58% |
1942
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
6244
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (Q)
|
96% |
6083
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1952
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7539
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15610
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12075
15.5 IPS |
|
|
Style Transfer (Q)
|
87% |
12815
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2585
95.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2207
81.8 IPS |
|
|
Text Classification (SP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.7 IPS |
|
|
Text Classification (Q)
|
97% |
483
647.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
68% |
1907
36.8 IPS |
