MacBook Pro (16-inch, 2021)
Geekbench AI Score
8807
Single Precision Score
9628
Half Precision Score
8467
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Bogdan_DD |
| Upload Date | September 19 2025 08:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
4022
747.9 IPS |
|
|
Image Classification (HP)
|
100% |
4140
769.9 IPS |
|
|
Image Classification (Q)
|
99% |
4136
771.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7374
119.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7502
121.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
7509
121.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32875
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36111
42.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
33533
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
3973
315.1 IPS |
|
|
Object Detection (HP)
|
100% |
4019
318.8 IPS |
|
|
Object Detection (Q)
|
92% |
3806
303.8 IPS |
|
|
Face Detection (SP)
|
100% |
14107
167.6 IPS |
|
|
Face Detection (HP)
|
100% |
14995
178.2 IPS |
|
|
Face Detection (Q)
|
100% |
12631
150.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20015
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19034
146.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
7726
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
54029
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64779
83.3 IPS |
|
|
Style Transfer (Q)
|
100% |
64870
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10844
400.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11553
426.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9788
362.6 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1922
33.2 IPS |
