MacBook Pro (16-inch, 2021)
Geekbench AI Score
12085
Single Precision Score
13416
Half Precision Score
12303
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | prashidi |
| Upload Date | June 16 2025 03:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
5296
984.8 IPS |
|
|
Image Classification (HP)
|
100% |
5219
970.5 IPS |
|
|
Image Classification (Q)
|
96% |
4809
898.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11823
191.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12133
196.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11538
187.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57135
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62303
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59751
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
5122
406.2 IPS |
|
|
Object Detection (HP)
|
100% |
5326
422.4 IPS |
|
|
Object Detection (Q)
|
92% |
4965
396.3 IPS |
|
|
Face Detection (SP)
|
100% |
21141
251.2 IPS |
|
|
Face Detection (HP)
|
100% |
21995
261.4 IPS |
|
|
Face Detection (Q)
|
100% |
19015
225.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26694
205.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27847
214.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
25283
197.5 IPS |
|
|
Style Transfer (SP)
|
100% |
96477
124.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121641
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
118629
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16786
619.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17469
645.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15468
571.2 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4063
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1347
23.3 IPS |
