MacBook Pro (16-inch, 2021)
Geekbench AI Score
8814
Single Precision Score
9603
Half Precision Score
9188
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GhaniUSA |
| Upload Date | October 27 2025 05:52 PM |
| Views | 3 |
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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4063
755.5 IPS |
|
|
Image Classification (HP)
|
100% |
4246
789.6 IPS |
|
|
Image Classification (Q)
|
96% |
3940
735.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7426
120.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7552
122.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7201
116.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32721
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35751
41.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
34167
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
3979
315.6 IPS |
|
|
Object Detection (HP)
|
100% |
4084
324.0 IPS |
|
|
Object Detection (Q)
|
92% |
3874
309.2 IPS |
|
|
Face Detection (SP)
|
100% |
14086
167.4 IPS |
|
|
Face Detection (HP)
|
100% |
14480
172.1 IPS |
|
|
Face Detection (Q)
|
100% |
12302
146.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19440
149.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18638
143.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17494
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53852
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64845
83.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63204
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10910
402.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11801
435.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10133
374.2 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4087
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4132
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2005
34.6 IPS |
