MacBook Pro (16-inch, 2021)
Geekbench AI Score
8585
Single Precision Score
9567
Half Precision Score
8924
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | February 27 2026 12:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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% |
4064
755.7 IPS |
|
|
Image Classification (HP)
|
100% |
4118
765.8 IPS |
|
|
Image Classification (Q)
|
96% |
3829
715.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7264
117.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7474
121.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7096
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32811
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
36094
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34612
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3928
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
4055
321.6 IPS |
|
|
Object Detection (Q)
|
92% |
3815
304.5 IPS |
|
|
Face Detection (SP)
|
100% |
13872
164.8 IPS |
|
|
Face Detection (HP)
|
100% |
14650
174.1 IPS |
|
|
Face Detection (Q)
|
100% |
12688
150.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19819
152.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18815
145.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
17435
136.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53965
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64689
83.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63429
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10799
398.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11678
431.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9856
363.9 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1559
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1613
27.9 IPS |
