Acer Aspire VN7-791G
Geekbench AI Score
1830
Single Precision Score
1951
Half Precision Score
1312
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | overclock |
| Upload Date | November 19 2024 12:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 950M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Aspire VN7-791G |
| Motherboard | Acer Aspire VN7-791G |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4720HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (Q)
|
100% |
584
108.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
759
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7019
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6646
7.75 IPS |
|
|
Pose Estimation (Q)
|
97% |
5881
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
872
69.2 IPS |
|
|
Object Detection (HP)
|
100% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
89% |
663
53.1 IPS |
|
|
Face Detection (SP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1553
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
1058
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3273
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3474
26.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
2547
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11103
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11231
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9095
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2976
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2923
107.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1996
73.9 IPS |
|
|
Text Classification (SP)
|
100% |
689
920.3 IPS |
|
|
Text Classification (HP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
407
544.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1141
19.7 IPS |
|
|
Machine Translation (Q)
|
60% |
440
9.82 IPS |
