MacBook Pro (14-inch, 2021)
Geekbench AI Score
3668
Single Precision Score
5798
Half Precision Score
4689
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hellisp |
| Upload Date | June 18 2025 06:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2020
375.6 IPS |
|
|
Image Classification (Q)
|
96% |
1507
281.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2556
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11125
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22335
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17370
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2301
183.2 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5291
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3084
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5740
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10157
78.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7151
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21897
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31958
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25920
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5699
210.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4053
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4770
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4734
81.8 IPS |
