MacBook Pro (16-inch, 2021)
Geekbench AI Score
8281
Single Precision Score
8748
Half Precision Score
8488
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 01:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4116
765.4 IPS |
|
|
Image Classification (HP)
|
100% |
4227
786.0 IPS |
|
|
Image Classification (Q)
|
96% |
3947
737.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7428
120.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7593
123.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7218
117.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32882
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35974
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34719
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3524
279.6 IPS |
|
|
Object Detection (HP)
|
100% |
4068
322.6 IPS |
|
|
Object Detection (Q)
|
92% |
3806
303.8 IPS |
|
|
Face Detection (SP)
|
100% |
14155
168.2 IPS |
|
|
Face Detection (HP)
|
100% |
14836
176.3 IPS |
|
|
Face Detection (Q)
|
100% |
12771
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20119
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19038
146.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14807
115.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53688
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
64384
82.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63299
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10886
402.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10084
372.4 IPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4228
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4188
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1021
17.6 IPS |
