Acer Aspire V3-772
Geekbench AI Score
1151
Single Precision Score
573
Half Precision Score
1177
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jonwienke |
| Upload Date | June 23 2025 03:07 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4702MQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Acer Aspire V3-772 |
| Motherboard | Acer VA70_HW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4702MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
816
151.8 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (Q)
|
96% |
966
180.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1754
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1373
1.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
2064
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
58% |
683
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (Q)
|
96% |
2185
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2318
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
830
6.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
2399
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4258
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3338
4.29 IPS |
|
|
Style Transfer (Q)
|
87% |
4480
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
863
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
711
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
927
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.4 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.1 IPS |
|
|
Text Classification (Q)
|
97% |
255
342.1 IPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
68% |
943
18.2 IPS |
