MacBook Pro (16-inch, 2021)
Geekbench AI Score
3727
Single Precision Score
5906
Half Precision Score
4719
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | January 09 2026 08:31 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (Q)
|
96% |
1516
283.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2606
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11119
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21891
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17149
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2299
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5352
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3144
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5745
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10448
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7125
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22110
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33533
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26646
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4429
163.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4086
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4759
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4767
82.4 IPS |
