MacBook Pro (16-inch, 2021)
Geekbench AI Score
3619
Single Precision Score
6001
Half Precision Score
4812
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | rjoanglin |
| Upload Date | November 22 2025 11:32 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10469
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22894
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17714
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
97% |
2343
186.6 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
5443
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5646
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10415
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7277
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21995
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35122
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28027
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5642
208.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4067
150.2 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4198
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4181
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5126
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5100
88.1 IPS |
