MacBook Pro (16-inch, 2021)
Geekbench ML Score
2834
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | doremon0710 |
| Upload Date | August 15 2024 05:33 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.20 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% |
1150
215.1 IPS |
|
|
Image Classification (F16)
|
100% |
1546
289.3 IPS |
|
|
Image Classification (I8)
|
99% |
1516
283.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
649
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
648
10.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
659
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4841
5.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
11175
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11916
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1160
86.6 IPS |
|
|
Object Detection (F16)
|
100% |
1692
126.3 IPS |
|
|
Object Detection (I8)
|
97% |
1252
93.5 IPS |
|
|
Face Detection (F32)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (F16)
|
97% |
3866
46.0 IPS |
|
|
Face Detection (I8)
|
97% |
3717
44.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4854
37.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7165
55.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
7466
57.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12820
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
19738
26.0 IPS |
|
|
Style Transfer (I8)
|
100% |
22456
29.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3377
120.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4395
157.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4209
150.3 IPS |
|
|
Text Classification (F32)
|
100% |
1960
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3355
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3259
4.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
704
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
894
16.5 IPS |
|
|
Machine Translation (I8)
|
99% |
714
13.1 IPS |
