MacBook Pro (16-inch, 2021)
Geekbench AI Score
12173
Single Precision Score
13641
Half Precision Score
12725
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | andreasphh |
| Upload Date | October 12 2025 12:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5043
937.8 IPS |
|
|
Image Classification (HP)
|
100% |
5070
942.9 IPS |
|
|
Image Classification (Q)
|
96% |
4751
887.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11746
190.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12196
197.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11493
186.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56800
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
62073
72.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
59299
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5149
408.4 IPS |
|
|
Object Detection (HP)
|
100% |
5304
420.7 IPS |
|
|
Object Detection (Q)
|
92% |
4960
395.9 IPS |
|
|
Face Detection (SP)
|
100% |
21301
253.1 IPS |
|
|
Face Detection (HP)
|
100% |
22042
261.9 IPS |
|
|
Face Detection (Q)
|
100% |
19552
232.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26642
205.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28100
216.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
25639
200.3 IPS |
|
|
Style Transfer (SP)
|
100% |
96847
124.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121498
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118346
152.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16936
625.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17676
652.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15504
572.5 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1932
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1879
32.5 IPS |
