Acer Spin SP513-55N
Geekbench AI Score
2889
Single Precision Score
2888
Half Precision Score
7765
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 07:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Spin SP513-55N |
| Motherboard | TGL Milgauss_TL |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1895
352.3 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.8 IPS |
|
|
Image Classification (Q)
|
100% |
5678
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5511
89.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3156
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3021
3.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
11965
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
1619
128.4 IPS |
|
|
Object Detection (Q)
|
88% |
5055
405.2 IPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
4603
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
12335
146.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4246
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4244
32.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12958
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8515
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8524
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31951
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6638
245.8 IPS |
|
|
Text Classification (SP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2007
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
3988
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3116
53.7 IPS |
