MacBook Pro (14-inch, 2021)
Geekbench AI Score
7756
Single Precision Score
8595
Half Precision Score
8011
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 07:23 PM |
| Views | 4 |
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, 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% |
3801
706.8 IPS |
|
|
Image Classification (HP)
|
100% |
3938
732.4 IPS |
|
|
Image Classification (Q)
|
96% |
3621
676.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6758
109.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6841
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6481
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29783
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32295
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31097
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
3685
292.3 IPS |
|
|
Object Detection (HP)
|
100% |
3849
305.3 IPS |
|
|
Object Detection (Q)
|
92% |
3584
286.1 IPS |
|
|
Face Detection (SP)
|
100% |
13194
156.8 IPS |
|
|
Face Detection (HP)
|
100% |
13657
162.3 IPS |
|
|
Face Detection (Q)
|
100% |
11828
140.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17484
134.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16649
128.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14937
116.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50211
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
59750
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58120
75.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10505
387.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11181
412.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9702
358.2 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1045
18.1 IPS |
