MacBook Pro (16-inch, 2021)
Geekbench AI Score
9253
Single Precision Score
10194
Half Precision Score
9096
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | February 27 2026 02:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
4015
746.7 IPS |
|
|
Image Classification (HP)
|
100% |
4047
752.7 IPS |
|
|
Image Classification (Q)
|
94% |
3825
714.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7354
119.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7491
121.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7121
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32910
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36006
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34641
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3955
313.7 IPS |
|
|
Object Detection (HP)
|
100% |
4065
322.4 IPS |
|
|
Object Detection (Q)
|
91% |
3598
287.6 IPS |
|
|
Face Detection (SP)
|
100% |
14552
172.9 IPS |
|
|
Face Detection (HP)
|
100% |
15103
179.5 IPS |
|
|
Face Detection (Q)
|
100% |
13826
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19898
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18864
145.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17773
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53953
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64550
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63246
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10638
392.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11378
420.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9839
363.3 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4109
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4084
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3071
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1830
31.6 IPS |
