MacBook Pro (14-inch, 2021)
Geekbench AI Score
8458
Single Precision Score
9216
Half Precision Score
8507
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ahirz |
| Upload Date | August 24 2025 08:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3936
732.1 IPS |
|
|
Image Classification (HP)
|
100% |
4025
748.4 IPS |
|
|
Image Classification (Q)
|
96% |
3738
698.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6899
111.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6929
112.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6603
107.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
30013
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32534
38.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31410
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3852
305.5 IPS |
|
|
Object Detection (HP)
|
100% |
4108
325.9 IPS |
|
|
Object Detection (Q)
|
92% |
3761
300.2 IPS |
|
|
Face Detection (SP)
|
100% |
13430
159.6 IPS |
|
|
Face Detection (HP)
|
100% |
14046
166.9 IPS |
|
|
Face Detection (Q)
|
100% |
12066
143.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18031
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17155
132.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
15726
122.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50538
65.0 IPS |
|
|
Style Transfer (HP)
|
100% |
60337
77.6 IPS |
|
|
Style Transfer (Q)
|
96% |
58891
76.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10846
400.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11587
427.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10136
374.3 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4078
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4055
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1727
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1484
25.7 IPS |
