MacBook Pro (16-inch, 2021)
Geekbench AI Score
11354
Single Precision Score
13188
Half Precision Score
12480
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aamato |
| Upload Date | January 04 2026 02:38 PM |
| Views | 4 |
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% |
5149
957.6 IPS |
|
|
Image Classification (HP)
|
100% |
5203
967.6 IPS |
|
|
Image Classification (Q)
|
96% |
4830
902.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11862
192.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12145
196.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11477
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57145
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62733
73.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
59973
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
3227
256.0 IPS |
|
|
Object Detection (HP)
|
100% |
5468
433.7 IPS |
|
|
Object Detection (Q)
|
92% |
4994
398.6 IPS |
|
|
Face Detection (SP)
|
100% |
21765
258.6 IPS |
|
|
Face Detection (HP)
|
100% |
22690
269.6 IPS |
|
|
Face Detection (Q)
|
100% |
19536
232.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26931
207.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28737
221.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
25422
198.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96935
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121640
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119079
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17052
629.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17956
663.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15784
582.8 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4340
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4320
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1370
23.7 IPS |
