MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2168
Single Precision Score
3599
Half Precision Score
2834
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 04:34 PM |
| Views | 5 |
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% |
854
158.9 IPS |
|
|
Image Classification (HP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (Q)
|
96% |
992
185.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1431
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4203
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
9288
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7851
9.20 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.5 IPS |
|
|
Object Detection (HP)
|
97% |
1576
125.5 IPS |
|
|
Object Detection (Q)
|
94% |
1132
90.2 IPS |
|
|
Face Detection (SP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
2055
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3691
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6714
51.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4669
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11231
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17429
22.4 IPS |
|
|
Style Transfer (Q)
|
96% |
14313
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3077
113.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2262
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
99% |
2739
3.66 KIPS |
|
|
Text Classification (Q)
|
93% |
2542
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3366
58.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3356
58.0 IPS |
