MacBook Pro (16-inch, 2021)
Geekbench AI Score
3668
Single Precision Score
5854
Half Precision Score
4687
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | May 27 2025 02:59 AM |
| Views | 9 |
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 (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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.0 IPS |
|
|
Image Classification (Q)
|
96% |
1501
280.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2602
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11146
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22033
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17492
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2307
183.7 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5186
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
3091
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10249
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7046
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22036
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33332
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25737
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4045
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4808
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4822
83.3 IPS |
