MacBook Pro (14-inch, 2021)
Geekbench AI Score
8700
Single Precision Score
9637
Half Precision Score
9067
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | caramelbeard |
| Upload Date | May 07 2025 02:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4178
777.0 IPS |
|
|
Image Classification (HP)
|
100% |
4075
757.9 IPS |
|
|
Image Classification (Q)
|
96% |
3859
720.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7289
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7458
120.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7096
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32869
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36065
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34765
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3941
312.6 IPS |
|
|
Object Detection (HP)
|
100% |
4056
321.8 IPS |
|
|
Object Detection (Q)
|
92% |
3780
301.7 IPS |
|
|
Face Detection (SP)
|
100% |
14067
167.1 IPS |
|
|
Face Detection (HP)
|
100% |
14723
174.9 IPS |
|
|
Face Detection (Q)
|
100% |
12857
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19845
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19022
146.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17405
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
54084
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64672
83.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63594
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10832
400.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11800
435.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9983
368.6 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1839
31.8 IPS |
