MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
675
Single Precision Score
536
Half Precision Score
443
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | MST36-JP |
| Upload Date | September 01 2024 01:46 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-1038NG7 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| 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 | 32.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.2 IPS |
|
|
Image Classification (Q)
|
99% |
222
41.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
326
5.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.54 IPS |
|
|
Image Segmentation (Q)
|
100% |
220
3.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1530
1.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
1228
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
92% |
166
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
715
8.49 IPS |
|
|
Face Detection (HP)
|
100% |
592
7.03 IPS |
|
|
Face Detection (Q)
|
100% |
293
3.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
911
7.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
798
6.15 IPS |
|
|
Depth Estimation (Q)
|
97% |
675
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
2699
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
2538
3.26 IPS |
|
|
Style Transfer (Q)
|
100% |
2529
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
298
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
489
653.0 IPS |
|
|
Text Classification (HP)
|
100% |
415
553.6 IPS |
|
|
Text Classification (Q)
|
93% |
410
550.0 IPS |
|
|
Machine Translation (SP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (Q)
|
98% |
485
8.38 IPS |
