i7-14700F Acer N60-641
Geekbench AI Score
5301
Single Precision Score
1685
Half Precision Score
9232
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jsaregular |
| Upload Date | March 26 2026 05:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer N60-641 |
| Motherboard | Gigabyte B760M C V3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4405
819.3 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.3 IPS |
|
|
Image Classification (Q)
|
99% |
7207
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1214
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12031
195.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10039
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
3901
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
32493
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4121
326.9 IPS |
|
|
Object Detection (HP)
|
100% |
723
57.4 IPS |
|
|
Object Detection (Q)
|
86% |
7700
618.9 IPS |
|
|
Face Detection (SP)
|
100% |
12540
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
12093
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12133
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2180
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
18809
150.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22321
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11596
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27729
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3484
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6183
229.0 IPS |
|
|
Text Classification (SP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3461
69.5 IPS |
