System manufacturer System Product Name
Geekbench AI Score
424
Single Precision Score
261
Half Precision Score
557
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 18 2025 04:21 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% |
287
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
96% |
447
83.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
377
6.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
442
0.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
784
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
58% |
306
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (HP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (Q)
|
96% |
993
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
371
2.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
929
7.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1217
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1229
1.58 IPS |
|
|
Style Transfer (Q)
|
87% |
1743
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
409
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.6 IPS |
|
|
Text Classification (HP)
|
100% |
163
218.2 IPS |
|
|
Text Classification (Q)
|
97% |
193
258.6 IPS |
|
|
Machine Translation (SP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (HP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (Q)
|
68% |
565
10.9 IPS |
