MacBook Pro (16-inch, 2021)
Geekbench AI Score
3620
Single Precision Score
5987
Half Precision Score
4817
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vuthi |
| Upload Date | September 25 2025 06:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (Q)
|
96% |
1500
280.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2602
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10391
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23098
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17772
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2328
185.4 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
5514
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3194
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10424
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7325
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21935
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35198
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27977
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4090
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5496
202.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4035
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4117
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5131
88.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5137
88.8 IPS |
