MacBook Pro (16-inch, 2021)
Geekbench AI Score
9503
Single Precision Score
10521
Half Precision Score
9016
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | korokoroomusubi |
| Upload Date | March 08 2026 01:40 PM |
| Views | 6 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4026
748.8 IPS |
|
|
Image Classification (HP)
|
100% |
4140
770.0 IPS |
|
|
Image Classification (Q)
|
94% |
3885
726.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7349
119.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7514
121.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7129
115.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32875
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35981
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34628
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
4021
318.9 IPS |
|
|
Object Detection (HP)
|
100% |
4064
322.4 IPS |
|
|
Object Detection (Q)
|
91% |
3901
311.8 IPS |
|
|
Face Detection (SP)
|
100% |
14526
172.6 IPS |
|
|
Face Detection (HP)
|
100% |
15178
180.4 IPS |
|
|
Face Detection (Q)
|
100% |
13815
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19917
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18877
145.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17790
139.1 IPS |
|
|
Style Transfer (SP)
|
100% |
54080
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64655
83.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63221
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10699
395.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11398
420.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9917
366.2 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4233
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4113
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1456
25.2 IPS |
