MacBook Pro (16-inch, 2021)
Geekbench AI Score
3598
Single Precision Score
5716
Half Precision Score
4628
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Lordwombat |
| Upload Date | July 15 2025 09:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.4 IPS |
|
|
Image Classification (Q)
|
96% |
1460
272.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2527
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21680
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17018
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
97% |
2235
178.0 IPS |
|
|
Object Detection (Q)
|
94% |
1681
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5089
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3034
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9510
73.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6838
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21662
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33119
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26706
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4085
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4875
84.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4764
82.3 IPS |
