MacBook Pro (16-inch, 2021)
Geekbench AI Score
12133
Single Precision Score
13526
Half Precision Score
12763
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 29 2025 05:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5104
949.2 IPS |
|
|
Image Classification (HP)
|
100% |
5128
953.6 IPS |
|
|
Image Classification (Q)
|
96% |
4807
897.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11829
191.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12219
198.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11641
188.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57259
66.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
62264
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59576
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
5232
415.0 IPS |
|
|
Object Detection (HP)
|
100% |
5432
430.9 IPS |
|
|
Object Detection (Q)
|
92% |
5029
401.4 IPS |
|
|
Face Detection (SP)
|
100% |
21117
250.9 IPS |
|
|
Face Detection (HP)
|
100% |
22024
261.7 IPS |
|
|
Face Detection (Q)
|
100% |
19040
226.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26716
205.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
28046
216.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
25548
199.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96901
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121413
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119092
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17002
627.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17939
662.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15703
579.9 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4225
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4197
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1792
31.0 IPS |
