MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3089
Single Precision Score
15266
Half Precision Score
14874
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Boldi2010 |
| Upload Date | December 28 2025 03:39 PM |
| Views | 11 |
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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
6344
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5941
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9031
146.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9302
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5992
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
69142
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67016
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
99% |
7122
566.6 IPS |
|
|
Object Detection (Q)
|
91% |
6630
529.7 IPS |
|
|
Face Detection (SP)
|
100% |
2974
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
14060
167.1 IPS |
|
|
Face Detection (Q)
|
100% |
12959
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5430
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47290
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47687
372.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16497
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
123893
159.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117333
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3483
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24388
900.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25022
923.9 IPS |
|
|
Text Classification (SP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4326
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4165
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2857
49.4 IPS |
