MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2174
Single Precision Score
3584
Half Precision Score
2882
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 04:56 PM |
| Views | 4 |
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% |
910
169.2 IPS |
|
|
Image Classification (HP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1628
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4267
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
9317
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
7936
9.30 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
97% |
1587
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1146
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
2120
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (Q)
|
100% |
2056
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3686
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6747
52.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4708
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11177
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17485
22.5 IPS |
|
|
Style Transfer (Q)
|
96% |
14313
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3147
116.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2283
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2563
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2563
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3372
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3368
58.2 IPS |
