MacBook Pro (16-inch, 2021)
Geekbench AI Score
3633
Single Precision Score
6000
Half Precision Score
4820
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 01 2025 07:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
2066
384.3 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2610
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10550
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23129
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17762
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2349
187.0 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
5536
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3202
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10369
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7348
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22081
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35149
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28050
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4162
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5571
205.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4069
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5089
87.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5027
86.9 IPS |
