MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3219
Single Precision Score
5382
Half Precision Score
4434
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Miroslav_Buryak |
| Upload Date | September 17 2025 11:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
2227
414.2 IPS |
|
|
Image Classification (Q)
|
96% |
1583
295.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2550
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14247
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12250
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2403
191.3 IPS |
|
|
Object Detection (Q)
|
94% |
1787
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5395
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5696
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10393
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7400
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17014
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27037
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22422
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4096
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4492
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4496
77.7 IPS |
