MacBook Pro (16-inch, 2021)
Geekbench ML Score
2993
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 20 2024 04:31 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1254
234.7 IPS |
|
|
Image Classification (F16)
|
100% |
1611
301.5 IPS |
|
|
Image Classification (I8)
|
99% |
1601
299.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
710
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
696
11.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
718
12.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5440
6.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
12581
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
12604
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
1251
93.4 IPS |
|
|
Object Detection (F16)
|
100% |
1698
126.8 IPS |
|
|
Object Detection (I8)
|
97% |
1265
94.5 IPS |
|
|
Face Detection (F32)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (F16)
|
97% |
3923
46.7 IPS |
|
|
Face Detection (I8)
|
97% |
3832
45.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5002
38.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7795
60.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
7833
60.7 IPS |
|
|
Style Transfer (F32)
|
100% |
14774
19.4 IPS |
|
|
Style Transfer (F16)
|
100% |
23569
31.0 IPS |
|
|
Style Transfer (I8)
|
100% |
23365
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3446
123.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4727
168.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4708
168.1 IPS |
|
|
Text Classification (F32)
|
100% |
2060
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3229
4.64 KIPS |
|
|
Text Classification (I8)
|
96% |
3273
4.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
674
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
994
18.3 IPS |
|
|
Machine Translation (I8)
|
99% |
682
12.5 IPS |
