MacBook Pro (16-inch, 2021)
Geekbench AI Score
3489
Single Precision Score
15246
Half Precision Score
15192
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GhaniUSA |
| Upload Date | October 27 2025 05:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.15 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1211
225.1 IPS |
|
|
Image Classification (HP)
|
100% |
5659
1.05 KIPS |
|
|
Image Classification (Q)
|
96% |
5471
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8831
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9571
155.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9546
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69231
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64614
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
99% |
7070
562.4 IPS |
|
|
Object Detection (Q)
|
91% |
6553
523.6 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
13016
154.7 IPS |
|
|
Face Detection (Q)
|
100% |
12584
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5643
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45234
348.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
45565
356.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21993
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
115469
148.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111370
143.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24040
887.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25693
948.7 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2980
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4156
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4473
77.3 IPS |
