MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3048
Single Precision Score
15034
Half Precision Score
14554
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 16 2025 02:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
6384
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5955
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8887
144.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9198
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
67704
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
64499
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
6943
552.3 IPS |
|
|
Object Detection (Q)
|
91% |
6299
503.3 IPS |
|
|
Face Detection (SP)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
13872
164.8 IPS |
|
|
Face Detection (Q)
|
100% |
12977
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5422
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45872
353.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
46105
360.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16449
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
122055
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114502
147.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3437
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24171
892.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24228
894.6 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4297
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4128
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2450
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2742
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2797
48.3 IPS |
