Acer Aspire A517-52G
Geekbench ML Score
2077
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 05:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Aspire A517-52G |
| Motherboard | TGL Jasmine_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 |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1244
232.9 IPS |
|
|
Image Classification (F16)
|
100% |
935
175.0 IPS |
|
|
Image Classification (I8)
|
99% |
2255
422.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
987
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1352
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3271
3.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
3188
3.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
10984
13.3 IPS |
|
|
Object Detection (F32)
|
100% |
1113
83.1 IPS |
|
|
Object Detection (F16)
|
100% |
1097
81.9 IPS |
|
|
Object Detection (I8)
|
62% |
1288
96.1 IPS |
|
|
Face Detection (F32)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (F16)
|
100% |
1619
19.3 IPS |
|
|
Face Detection (I8)
|
89% |
2703
32.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2922
22.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3833
29.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
8961
69.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7151
9.41 IPS |
|
|
Style Transfer (F16)
|
100% |
7609
10.0 IPS |
|
|
Style Transfer (I8)
|
98% |
12269
16.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1671
59.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1709
61.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2699
96.4 IPS |
|
|
Text Classification (F32)
|
100% |
1194
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1206
1.73 KIPS |
|
|
Text Classification (I8)
|
98% |
342
492.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1318
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1330
24.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1743
32.1 IPS |
