System manufacturer System Product Name
Geekbench AI Score
421
Single Precision Score
260
Half Precision Score
557
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 18 2025 04:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-860 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. P7H55-M LX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-860 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 30 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
123
23.0 IPS |
|
|
Image Classification (Q)
|
96% |
448
83.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
376
6.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
442
0.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
789
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
58% |
306
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
725
8.61 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (Q)
|
96% |
988
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
370
2.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
938
7.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1222
1.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1235
1.59 IPS |
|
|
Style Transfer (Q)
|
87% |
1747
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
264
9.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
412
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
298
398.2 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.3 IPS |
|
|
Text Classification (Q)
|
97% |
192
257.0 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
171
2.95 IPS |
|
|
Machine Translation (Q)
|
68% |
560
10.8 IPS |
