MacBook Pro (16-inch, 2021)
Geekbench AI Score
8701
Single Precision Score
9731
Half Precision Score
8759
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mr_javer |
| Upload Date | August 29 2025 06:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4036
750.5 IPS |
|
|
Image Classification (HP)
|
100% |
4085
759.6 IPS |
|
|
Image Classification (Q)
|
96% |
3821
713.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7295
118.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7442
120.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7090
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32800
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35971
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34568
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3919
310.8 IPS |
|
|
Object Detection (HP)
|
100% |
4057
321.8 IPS |
|
|
Object Detection (Q)
|
92% |
3800
303.4 IPS |
|
|
Face Detection (SP)
|
100% |
13803
164.0 IPS |
|
|
Face Detection (HP)
|
100% |
14673
174.3 IPS |
|
|
Face Detection (Q)
|
100% |
12619
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19826
152.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18967
146.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
17357
135.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53897
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64771
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63370
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10795
398.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11580
427.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9900
365.6 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1348
23.3 IPS |
