MacBook Pro (16-inch, 2021)
Geekbench AI Score
3641
Single Precision Score
5996
Half Precision Score
4814
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 08:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2618
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10476
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23111
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17755
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2367
188.5 IPS |
|
|
Object Detection (Q)
|
94% |
1731
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
5498
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3191
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10500
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7324
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22135
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35156
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28071
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4127
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5481
202.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4049
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5130
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5067
87.6 IPS |
