MacBook Pro (16-inch, 2021)
Geekbench AI Score
8631
Single Precision Score
9438
Half Precision Score
8837
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dengduck |
| Upload Date | May 06 2025 04:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
4047
752.6 IPS |
|
|
Image Classification (HP)
|
100% |
4202
781.5 IPS |
|
|
Image Classification (Q)
|
96% |
3801
709.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7279
118.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7509
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7070
114.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32848
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34828
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
33581
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
3909
310.1 IPS |
|
|
Object Detection (HP)
|
100% |
4178
331.4 IPS |
|
|
Object Detection (Q)
|
92% |
3792
302.6 IPS |
|
|
Face Detection (SP)
|
100% |
13875
164.9 IPS |
|
|
Face Detection (HP)
|
100% |
14569
173.1 IPS |
|
|
Face Detection (Q)
|
100% |
12774
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20086
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19015
146.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
17467
136.6 IPS |
|
|
Style Transfer (SP)
|
100% |
54074
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
63927
82.2 IPS |
|
|
Style Transfer (Q)
|
96% |
62629
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10706
395.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11357
419.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9786
361.3 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4067
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1501
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1527
26.4 IPS |
