MacBook Pro (16-inch, 2021)
Geekbench ML Score
5106
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 20 2024 04:33 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3812
713.4 IPS |
|
|
Image Classification (F16)
|
100% |
3909
731.5 IPS |
|
|
Image Classification (I8)
|
99% |
3366
629.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1187
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1148
19.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1157
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
31336
37.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
31722
38.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
31717
38.4 IPS |
|
|
Object Detection (F32)
|
100% |
2879
214.9 IPS |
|
|
Object Detection (F16)
|
100% |
2925
218.4 IPS |
|
|
Object Detection (I8)
|
97% |
2699
201.5 IPS |
|
|
Face Detection (F32)
|
100% |
11710
139.2 IPS |
|
|
Face Detection (F16)
|
98% |
11653
138.6 IPS |
|
|
Face Detection (I8)
|
97% |
11076
131.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
19888
154.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
20593
159.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
18570
144.0 IPS |
|
|
Style Transfer (F32)
|
100% |
51533
67.8 IPS |
|
|
Style Transfer (F16)
|
100% |
53088
69.8 IPS |
|
|
Style Transfer (I8)
|
100% |
60849
80.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7496
267.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8120
290.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6692
239.0 IPS |
|
|
Text Classification (F32)
|
100% |
895
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
492
706.5 IPS |
|
|
Text Classification (I8)
|
96% |
424
609.2 IPS |
|
|
Machine Translation (F32)
|
100% |
599
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
603
11.1 IPS |
|
|
Machine Translation (I8)
|
99% |
590
10.9 IPS |
