MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
820
Single Precision Score
98
Half Precision Score
84
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | May 22 2025 09:33 AM |
| Views | 9 |
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 | 16.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2834
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
575
0.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
565
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
929
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (Q)
|
100% |
351
4.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
1036
7.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
882
6.79 IPS |
|
|
Depth Estimation (Q)
|
85% |
632
4.94 IPS |
|
|
Style Transfer (SP)
|
100% |
3243
4.17 IPS |
|
|
Style Transfer (HP)
|
100% |
2072
2.66 IPS |
|
|
Style Transfer (Q)
|
96% |
1803
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
318
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
518
690.8 IPS |
|
|
Text Classification (HP)
|
100% |
448
597.7 IPS |
|
|
Text Classification (Q)
|
93% |
434
583.1 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.67 IPS |
|
|
Machine Translation (Q)
|
98% |
562
9.70 IPS |
