MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4135
Single Precision Score
4593
Half Precision Score
4543
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 04:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1927
358.4 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.2 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3147
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3446
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9604
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11496
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11469
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
2009
159.4 IPS |
|
|
Object Detection (HP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (Q)
|
92% |
2023
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
4983
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
4710
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7761
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9108
70.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8364
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24767
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20650
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29413
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6510
240.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7272
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5901
217.9 IPS |
|
|
Text Classification (SP)
|
100% |
1547
2.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2572
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2547
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1534
26.5 IPS |
