System manufacturer System Product Name
Geekbench AI Score
660
Single Precision Score
433
Half Precision Score
875
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | W4RHE4D |
| Upload Date | March 26 2026 09:59 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-960 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Rampage III Extreme |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-960 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
408
76.0 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
96% |
640
119.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
720
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
803
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
1274
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
58% |
474
51.7 IPS |
|
|
Face Detection (SP)
|
100% |
1073
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (Q)
|
96% |
1416
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1113
8.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
647
4.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
1428
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2076
2.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2084
2.68 IPS |
|
|
Style Transfer (Q)
|
87% |
2616
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
435
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
745
27.6 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.5 IPS |
|
|
Text Classification (HP)
|
100% |
276
368.7 IPS |
|
|
Text Classification (Q)
|
97% |
296
396.7 IPS |
|
|
Machine Translation (SP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.30 IPS |
|
|
Machine Translation (Q)
|
68% |
814
15.7 IPS |
