Acer Aspire S32-1856
Geekbench AI Score
2490
Single Precision Score
1146
Half Precision Score
3215
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | albionix26 |
| Upload Date | October 15 2024 10:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire S32-1856 |
| Motherboard | Acer Aspire S32-1856 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1467
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
99% |
2717
506.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2258
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4656
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
14118
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
88% |
1582
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
3276
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5136
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1632
12.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5785
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10840
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7961
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15257
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3446
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
1453
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
492
656.5 IPS |
|
|
Text Classification (Q)
|
97% |
477
638.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1813
40.5 IPS |
