MacBook Pro GPU (16-inch, 2021) MacBook Pro (16-inch, 2021)
Geekbench AI Score
12150
Single Precision Score
13630
Half Precision Score
12675
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dukrous |
| Upload Date | June 28 2025 03:27 PM |
| Views | 6 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5102
948.7 IPS |
|
|
Image Classification (HP)
|
100% |
5208
968.5 IPS |
|
|
Image Classification (Q)
|
96% |
4730
883.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11782
191.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12159
197.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11505
186.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57026
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62184
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59366
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5199
412.4 IPS |
|
|
Object Detection (HP)
|
100% |
5371
426.0 IPS |
|
|
Object Detection (Q)
|
92% |
5002
399.3 IPS |
|
|
Face Detection (SP)
|
100% |
20877
248.1 IPS |
|
|
Face Detection (HP)
|
100% |
22267
264.6 IPS |
|
|
Face Detection (Q)
|
100% |
19061
226.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26787
206.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28167
217.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
25889
202.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96251
123.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121841
156.6 IPS |
|
|
Style Transfer (Q)
|
96% |
118659
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16882
623.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17829
658.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15724
580.6 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1801
31.1 IPS |
