MacBook Pro (16-inch, 2021)
Geekbench AI Score
12034
Single Precision Score
13647
Half Precision Score
12459
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | rjoanglin |
| Upload Date | November 22 2025 11:35 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5143
956.4 IPS |
|
|
Image Classification (HP)
|
100% |
5109
950.2 IPS |
|
|
Image Classification (Q)
|
96% |
4574
854.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11820
191.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12048
195.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11247
182.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56894
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
61458
71.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59321
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5097
404.3 IPS |
|
|
Object Detection (HP)
|
100% |
5377
426.5 IPS |
|
|
Object Detection (Q)
|
92% |
5030
401.5 IPS |
|
|
Face Detection (SP)
|
100% |
21852
259.7 IPS |
|
|
Face Detection (HP)
|
100% |
22850
271.5 IPS |
|
|
Face Detection (Q)
|
100% |
19643
233.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26691
205.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
28116
216.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
25630
200.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96921
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
122819
157.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119002
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16926
625.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18012
665.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15781
582.7 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4216
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1473
25.5 IPS |
