MacBook Pro (16-inch, 2021)
Geekbench AI Score
9471
Single Precision Score
10504
Half Precision Score
9225
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wolemacintosha |
| Upload Date | March 15 2026 12:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4030
749.5 IPS |
|
|
Image Classification (HP)
|
100% |
4313
802.0 IPS |
|
|
Image Classification (Q)
|
94% |
3854
720.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7310
118.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7579
122.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7142
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32916
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36088
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34719
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3981
315.8 IPS |
|
|
Object Detection (HP)
|
100% |
4020
318.9 IPS |
|
|
Object Detection (Q)
|
91% |
3865
308.9 IPS |
|
|
Face Detection (SP)
|
100% |
14496
172.2 IPS |
|
|
Face Detection (HP)
|
100% |
15117
179.6 IPS |
|
|
Face Detection (Q)
|
100% |
13823
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19858
153.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18923
145.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17578
137.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54078
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64548
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63183
81.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10742
396.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11314
417.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9864
364.2 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4108
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3824
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1955
33.8 IPS |
