MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3180
Single Precision Score
5388
Half Precision Score
4393
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:03 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% |
1404
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2520
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6338
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14208
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12222
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2383
189.7 IPS |
|
|
Object Detection (Q)
|
94% |
1670
133.1 IPS |
|
|
Face Detection (SP)
|
100% |
2833
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5160
61.3 IPS |
|
|
Face Detection (Q)
|
100% |
3133
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10390
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7367
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16792
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26922
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22347
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3520
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2536
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4568
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4573
79.0 IPS |
