MacBook Pro (14-inch, 2021)
Geekbench ML Score
1834
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 12:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.3.1 (Build 23D60) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 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% |
926
173.2 IPS |
|
|
Image Classification (F16)
|
100% |
876
164.0 IPS |
|
|
Image Classification (I8)
|
99% |
872
163.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
483
8.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
442
7.38 IPS |
|
|
Image Segmentation (I8)
|
100% |
443
7.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
9659
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
14639
17.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14496
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1027
76.7 IPS |
|
|
Object Detection (F16)
|
100% |
1038
77.5 IPS |
|
|
Object Detection (I8)
|
97% |
974
72.7 IPS |
|
|
Face Detection (F32)
|
100% |
1830
21.8 IPS |
|
|
Face Detection (F16)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (I8)
|
99% |
1654
19.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3315
25.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
3359
26.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3389
26.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12391
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
13577
17.9 IPS |
|
|
Style Transfer (I8)
|
100% |
13234
17.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2589
92.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2417
86.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2606
93.1 IPS |
|
|
Text Classification (F32)
|
100% |
393
565.1 IPS |
|
|
Text Classification (F16)
|
100% |
542
778.8 IPS |
|
|
Text Classification (I8)
|
96% |
544
781.5 IPS |
|
|
Machine Translation (F32)
|
100% |
861
15.8 IPS |
|
|
Machine Translation (F16)
|
99% |
937
17.2 IPS |
|
|
Machine Translation (I8)
|
99% |
869
16.0 IPS |
