MacBook Pro (16-inch, 2021)
Geekbench AI Score
12131
Single Precision Score
13774
Half Precision Score
12811
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 11:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4964
923.1 IPS |
|
|
Image Classification (HP)
|
100% |
5022
934.0 IPS |
|
|
Image Classification (Q)
|
96% |
4636
865.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11798
191.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12062
195.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11458
185.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56689
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
62112
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59384
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
5098
404.4 IPS |
|
|
Object Detection (HP)
|
100% |
5276
418.5 IPS |
|
|
Object Detection (Q)
|
92% |
4891
390.4 IPS |
|
|
Face Detection (SP)
|
100% |
21133
251.1 IPS |
|
|
Face Detection (HP)
|
100% |
22203
263.8 IPS |
|
|
Face Detection (Q)
|
100% |
19147
227.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26172
201.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
28005
215.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
25512
199.3 IPS |
|
|
Style Transfer (SP)
|
100% |
95296
122.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120767
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118096
152.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16827
621.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17635
651.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15580
575.3 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4019
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1989
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2328
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2097
36.2 IPS |
