MacBook Pro (14-inch, 2021)
Geekbench AI Score
6336
Single Precision Score
6915
Half Precision Score
2275
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | GianPaJ |
| Upload Date | April 04 2025 08:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.5 (Build 23H527) |
| 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 | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3637
676.3 IPS |
|
|
Image Classification (HP)
|
100% |
3677
683.7 IPS |
|
|
Image Classification (Q)
|
97% |
2790
520.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5903
95.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6081
98.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5835
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
30692
35.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33484
39.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
30370
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3413
270.7 IPS |
|
|
Object Detection (HP)
|
100% |
3784
300.1 IPS |
|
|
Object Detection (Q)
|
92% |
2974
237.4 IPS |
|
|
Face Detection (SP)
|
100% |
12329
146.5 IPS |
|
|
Face Detection (HP)
|
100% |
12892
153.2 IPS |
|
|
Face Detection (Q)
|
100% |
8868
105.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19667
151.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19638
151.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
119.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53329
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
62749
80.7 IPS |
|
|
Style Transfer (Q)
|
96% |
59487
76.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10785
398.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11594
428.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8529
314.9 IPS |
|
|
Text Classification (SP)
|
100% |
395
527.7 IPS |
|
|
Text Classification (HP)
|
100% |
575
767.2 IPS |
|
|
Text Classification (Q)
|
93% |
571
765.9 IPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
986
17.0 IPS |
