MacBook Pro (14-inch, 2021)
Geekbench AI Score
8426
Single Precision Score
9255
Half Precision Score
8771
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | carlos.sancineto |
| Upload Date | October 25 2025 06:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3903
725.8 IPS |
|
|
Image Classification (HP)
|
100% |
3970
738.4 IPS |
|
|
Image Classification (Q)
|
96% |
3754
701.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7303
118.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7452
120.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7107
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32886
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35865
41.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
34664
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3926
311.4 IPS |
|
|
Object Detection (HP)
|
100% |
4033
319.9 IPS |
|
|
Object Detection (Q)
|
92% |
3718
296.8 IPS |
|
|
Face Detection (SP)
|
100% |
13981
166.1 IPS |
|
|
Face Detection (HP)
|
100% |
14618
173.7 IPS |
|
|
Face Detection (Q)
|
100% |
12598
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19644
151.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18754
144.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
17144
133.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52382
67.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64452
82.9 IPS |
|
|
Style Transfer (Q)
|
96% |
62883
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10708
395.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11323
418.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9772
360.8 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3853
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1540
26.6 IPS |
