MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3041
Single Precision Score
4823
Half Precision Score
4404
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | April 16 2025 03:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
1956
363.8 IPS |
|
|
Image Classification (Q)
|
99% |
2121
395.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2024
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6405
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13928
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11926
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
1848
147.1 IPS |
|
|
Object Detection (Q)
|
94% |
1649
131.4 IPS |
|
|
Face Detection (SP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (Q)
|
100% |
2713
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5299
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9688
74.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
9701
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15849
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24347
31.3 IPS |
|
|
Style Transfer (Q)
|
100% |
26710
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2965
109.8 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (Q)
|
93% |
3506
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4508
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4454
77.0 IPS |
