Apple Inc. MacBookPro16,2
Geekbench AI Score
1555
Single Precision Score
476
Half Precision Score
2326
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 01:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1038NG7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | Apple Inc. MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1038NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
970
180.5 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
99% |
1917
357.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1307
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1828
2.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
8153
9.56 IPS |
|
|
Object Detection (SP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (Q)
|
88% |
1249
100.2 IPS |
|
|
Face Detection (SP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
218
2.60 IPS |
|
|
Face Detection (Q)
|
97% |
2845
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2899
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
607
4.68 IPS |
|
|
Depth Estimation (Q)
|
76% |
4361
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5831
7.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4650
5.98 IPS |
|
|
Style Transfer (Q)
|
98% |
11998
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2415
89.4 IPS |
|
|
Text Classification (SP)
|
100% |
1061
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
497
663.5 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1320
29.4 IPS |
