MacBook Pro (16-inch, 2021)
Geekbench AI Score
3630
Single Precision Score
6006
Half Precision Score
4837
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Niiiko |
| Upload Date | February 05 2026 09:42 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
2072
385.2 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2619
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10588
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23109
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17738
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2357
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1736
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
5478
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3185
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5666
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10598
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7334
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22162
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35091
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28085
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4035
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5503
203.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4062
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4220
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4211
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5062
87.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5163
89.2 IPS |
