MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2865
Single Precision Score
5279
Half Precision Score
4149
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | abderzzeze |
| Upload Date | October 26 2025 10:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
2205
410.1 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2494
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5757
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
13904
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11849
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.9 IPS |
|
|
Object Detection (HP)
|
97% |
2390
190.3 IPS |
|
|
Object Detection (Q)
|
94% |
1765
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
2501
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
5155
61.3 IPS |
|
|
Face Detection (Q)
|
100% |
3080
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4377
33.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10160
78.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7353
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15803
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25439
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17334
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3173
117.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4443
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2918
107.8 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4340
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4307
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2385
41.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4125
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3768
65.1 IPS |
