MacBook Pro (14-inch, 2021)
Geekbench AI Score
8765
Single Precision Score
9799
Half Precision Score
8997
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | 5kAtAna5 |
| Upload Date | May 29 2025 03:43 PM |
| Views | 2 |
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% |
4074
757.7 IPS |
|
|
Image Classification (HP)
|
100% |
4199
780.8 IPS |
|
|
Image Classification (Q)
|
96% |
3851
719.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7291
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7470
121.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7090
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32904
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36185
42.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
34533
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3929
311.7 IPS |
|
|
Object Detection (HP)
|
100% |
4122
326.9 IPS |
|
|
Object Detection (Q)
|
92% |
3839
306.4 IPS |
|
|
Face Detection (SP)
|
100% |
13817
164.2 IPS |
|
|
Face Detection (HP)
|
100% |
14795
175.8 IPS |
|
|
Face Detection (Q)
|
100% |
12758
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19936
153.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19101
147.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
16519
129.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53985
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64827
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63503
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10918
403.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11762
434.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10026
370.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1802
31.1 IPS |
