MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2178
Single Precision Score
3586
Half Precision Score
2881
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 05:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
906
168.5 IPS |
|
|
Image Classification (HP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (Q)
|
96% |
982
183.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1631
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4262
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
9295
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7905
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (HP)
|
97% |
1586
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
2136
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (Q)
|
100% |
2057
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3692
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6764
52.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
4693
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11156
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17475
22.5 IPS |
|
|
Style Transfer (Q)
|
96% |
14327
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2518
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3122
115.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2277
84.1 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2541
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2551
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3379
58.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3378
58.4 IPS |
