MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5826
Single Precision Score
6825
Half Precision Score
6337
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 12:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2758
512.9 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.4 IPS |
|
|
Image Classification (Q)
|
96% |
2755
514.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4022
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4330
70.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4150
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17435
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19646
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18840
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2881
228.6 IPS |
|
|
Object Detection (HP)
|
100% |
2958
234.6 IPS |
|
|
Object Detection (Q)
|
92% |
2714
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
7253
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
9183
109.1 IPS |
|
|
Face Detection (Q)
|
100% |
7355
87.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12917
99.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14470
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13111
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29609
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35975
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35609
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7189
265.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8090
298.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6820
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4124
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1852
32.0 IPS |
