MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5841
Single Precision Score
6826
Half Precision Score
6352
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:47 AM |
| Views | 1 |
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% |
2844
529.0 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.5 IPS |
|
|
Image Classification (Q)
|
96% |
2848
531.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4178
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4440
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4245
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17378
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19610
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19064
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2888
229.0 IPS |
|
|
Object Detection (HP)
|
100% |
2892
229.4 IPS |
|
|
Object Detection (Q)
|
92% |
2674
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
6984
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
9031
107.3 IPS |
|
|
Face Detection (Q)
|
100% |
7376
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12953
99.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14631
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13084
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29683
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35822
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35565
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7120
262.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8083
298.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6755
249.4 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1830
31.6 IPS |
