MacBook Pro (16-inch, 2021)
Geekbench AI Score
3856
Single Precision Score
16449
Half Precision Score
16173
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | BGS |
| Upload Date | March 19 2026 09:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E241) |
| 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% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
6667
1.24 KIPS |
|
|
Image Classification (Q)
|
97% |
6398
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9358
151.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10057
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10256
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68932
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64757
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
7590
603.8 IPS |
|
|
Object Detection (Q)
|
89% |
7139
571.5 IPS |
|
|
Face Detection (SP)
|
100% |
3384
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
14682
174.5 IPS |
|
|
Face Detection (Q)
|
100% |
13708
162.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5708
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50211
386.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
51633
403.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21870
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121523
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
114126
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26238
968.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27201
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
4313
5.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6835
9.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6687
8.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2803
48.4 IPS |
