ASUS All Series
Geekbench AI Score
2252
Single Precision Score
958
Half Precision Score
2789
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | January 24 2026 12:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-5960X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. SABERTOOTH X99 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
96% |
2116
395.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
2807
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3564
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2816
3.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
4859
5.74 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (Q)
|
58% |
1606
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
3897
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
4897
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5150
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1394
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5221
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9658
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7472
9.60 IPS |
|
|
Style Transfer (Q)
|
87% |
9479
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2274
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
490
653.9 IPS |
|
|
Text Classification (Q)
|
97% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
68% |
1443
27.9 IPS |
