MacBook Pro (16-inch, 2021)
Geekbench AI Score
12404
Single Precision Score
13843
Half Precision Score
12566
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | lylehm |
| Upload Date | August 24 2025 04:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
5179
963.1 IPS |
|
|
Image Classification (HP)
|
100% |
5250
976.3 IPS |
|
|
Image Classification (Q)
|
96% |
4851
905.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11778
190.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12128
196.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11530
186.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
57009
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62185
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59165
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
5171
410.1 IPS |
|
|
Object Detection (HP)
|
100% |
5368
425.8 IPS |
|
|
Object Detection (Q)
|
92% |
5021
400.8 IPS |
|
|
Face Detection (SP)
|
100% |
21545
256.0 IPS |
|
|
Face Detection (HP)
|
100% |
22521
267.6 IPS |
|
|
Face Detection (Q)
|
100% |
19448
231.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26370
203.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27791
214.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
25882
202.2 IPS |
|
|
Style Transfer (SP)
|
100% |
97024
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121875
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
119290
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16998
627.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18089
667.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15912
587.5 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4055
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2162
37.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1525
26.4 IPS |
