MacBook Pro (16-inch, 2021)
Geekbench AI Score
3637
Single Precision Score
14673
Half Precision Score
14413
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Niiiko |
| Upload Date | February 05 2026 09:49 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1324
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
5980
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5657
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8811
142.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9420
152.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10426
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67994
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
63970
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
6813
542.0 IPS |
|
|
Object Detection (Q)
|
91% |
6419
512.9 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
13093
155.6 IPS |
|
|
Face Detection (Q)
|
100% |
12327
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5694
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44647
344.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
46414
362.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22083
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117298
150.8 IPS |
|
|
Style Transfer (Q)
|
96% |
109828
141.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4122
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24018
886.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24842
917.3 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4261
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4196
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3118
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2700
46.7 IPS |
