MacBook Pro (16-inch, 2021)
Geekbench AI Score
3711
Single Precision Score
5764
Half Precision Score
4670
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kducarmont |
| Upload Date | January 27 2025 07:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
2008
373.5 IPS |
|
|
Image Classification (Q)
|
96% |
1466
273.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2644
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11058
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22112
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17106
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2316
184.4 IPS |
|
|
Object Detection (Q)
|
94% |
1708
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5427
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3122
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5874
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10659
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7334
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22305
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34016
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26625
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4279
158.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3961
146.2 IPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3710
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4718
81.5 IPS |
