MacBook Pro (16-inch, 2021)
Geekbench AI Score
2013
Single Precision Score
2114
Half Precision Score
1178
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 07 2025 05:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.3.1 (Build 23D60) |
| 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% |
957
178.0 IPS |
|
|
Image Classification (HP)
|
100% |
957
178.0 IPS |
|
|
Image Classification (Q)
|
97% |
393
73.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
517
8.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
10207
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15972
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
6873
8.06 IPS |
|
|
Object Detection (SP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (HP)
|
98% |
1065
84.7 IPS |
|
|
Object Detection (Q)
|
94% |
495
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
1774
21.1 IPS |
|
|
Face Detection (Q)
|
100% |
635
7.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
3655
28.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3673
28.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1697
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12956
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13876
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
7849
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2214
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1004
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
370
493.4 IPS |
|
|
Text Classification (HP)
|
100% |
467
623.2 IPS |
|
|
Text Classification (Q)
|
93% |
466
625.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1652
28.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1897
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1888
32.6 IPS |
