MacBook Pro (16-inch, 2021)
Geekbench AI Score
13550
Single Precision Score
14914
Half Precision Score
13577
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | BGS |
| Upload Date | March 17 2026 03:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
4829
898.0 IPS |
|
|
Image Classification (HP)
|
100% |
4882
907.9 IPS |
|
|
Image Classification (Q)
|
94% |
4547
849.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11566
187.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11822
191.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11281
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56856
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
61837
72.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58922
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4964
393.8 IPS |
|
|
Object Detection (HP)
|
100% |
5162
409.5 IPS |
|
|
Object Detection (Q)
|
91% |
4868
389.1 IPS |
|
|
Face Detection (SP)
|
100% |
21554
256.1 IPS |
|
|
Face Detection (HP)
|
100% |
22488
267.2 IPS |
|
|
Face Detection (Q)
|
100% |
20549
244.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26255
202.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27671
213.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
25581
200.0 IPS |
|
|
Style Transfer (SP)
|
100% |
96154
123.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120701
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118631
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15635
577.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16437
606.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14765
545.2 IPS |
|
|
Text Classification (SP)
|
100% |
4062
5.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6285
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6143
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3811
65.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2559
44.2 IPS |
