MacBook Pro (16-inch, 2021)
Geekbench AI Score
8724
Single Precision Score
9691
Half Precision Score
9060
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | althoor |
| Upload Date | October 27 2025 11:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
4019
747.5 IPS |
|
|
Image Classification (HP)
|
100% |
4111
764.4 IPS |
|
|
Image Classification (Q)
|
96% |
3878
724.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7353
119.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7541
122.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7162
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32920
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35826
41.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
34749
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
4014
318.4 IPS |
|
|
Object Detection (HP)
|
100% |
4050
321.2 IPS |
|
|
Object Detection (Q)
|
92% |
3813
304.4 IPS |
|
|
Face Detection (SP)
|
100% |
14083
167.3 IPS |
|
|
Face Detection (HP)
|
100% |
14798
175.8 IPS |
|
|
Face Detection (Q)
|
100% |
12941
153.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19953
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19041
146.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17480
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53954
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64821
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63270
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10783
398.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11661
430.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10052
371.2 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4086
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1724
29.8 IPS |
