MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
763
Single Precision Score
97
Half Precision Score
82
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | April 17 2025 06:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-1068NG7 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1068NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.30 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% |
323
60.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2142
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
576
0.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
578
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
689
8.18 IPS |
|
|
Face Detection (Q)
|
100% |
323
3.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
943
7.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
885
6.82 IPS |
|
|
Depth Estimation (Q)
|
85% |
619
4.84 IPS |
|
|
Style Transfer (SP)
|
100% |
2951
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2194
2.82 IPS |
|
|
Style Transfer (Q)
|
96% |
1822
2.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
317
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
503
670.8 IPS |
|
|
Text Classification (HP)
|
100% |
413
551.1 IPS |
|
|
Text Classification (Q)
|
93% |
421
564.8 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (Q)
|
98% |
544
9.40 IPS |
