MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3181
Single Precision Score
5325
Half Precision Score
4400
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:23 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6336
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14201
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12216
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2372
188.9 IPS |
|
|
Object Detection (Q)
|
94% |
1772
141.3 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5404
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3111
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10454
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7382
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16963
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26981
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22392
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4490
165.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4501
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4522
78.1 IPS |
