MacBook Pro (14-inch, 2021)
Geekbench AI Score
3680
Single Precision Score
5848
Half Precision Score
4716
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 09:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11301
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22335
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17199
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2308
183.7 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5231
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3062
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5699
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10237
79.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7034
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22200
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31965
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26863
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5797
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4098
151.3 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4015
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4865
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4930
85.2 IPS |
