MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
667
Single Precision Score
89
Half Precision Score
73
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | piotrga |
| Upload Date | September 08 2025 01:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-1038NG7 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2024
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
441
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
819
9.74 IPS |
|
|
Face Detection (HP)
|
100% |
643
7.65 IPS |
|
|
Face Detection (Q)
|
100% |
304
3.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
857
6.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
802
6.18 IPS |
|
|
Depth Estimation (Q)
|
85% |
553
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
2429
3.12 IPS |
|
|
Style Transfer (HP)
|
100% |
1620
2.08 IPS |
|
|
Style Transfer (Q)
|
96% |
1435
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
982
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
252
9.29 IPS |
|
|
Text Classification (SP)
|
100% |
402
536.9 IPS |
|
|
Text Classification (HP)
|
100% |
395
526.8 IPS |
|
|
Text Classification (Q)
|
93% |
396
530.9 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (Q)
|
98% |
454
7.84 IPS |
