MacBook Pro (16-inch, 2021)
Geekbench AI Score
3758
Single Precision Score
5739
Half Precision Score
4729
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andrewtch |
| Upload Date | March 24 2025 01:56 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.7 IPS |
|
|
Image Classification (Q)
|
96% |
1489
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11173
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22308
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16959
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2349
187.0 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3199
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5886
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10977
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7420
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22353
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33277
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26288
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4321
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6223
229.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4037
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3206
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4780
82.6 IPS |
