MacBook Pro (16-inch, 2021)
Geekbench AI Score
3626
Single Precision Score
5974
Half Precision Score
4790
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 05:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10439
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23007
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17674
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
97% |
2357
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
5487
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5699
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10312
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7260
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22053
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34743
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27856
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4118
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5653
208.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4051
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5113
88.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5115
88.4 IPS |
