MacBook Pro (16-inch, 2021)
Geekbench ML Score
2922
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 25 2024 11:52 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
1249
233.7 IPS |
|
|
Image Classification (F16)
|
100% |
1585
296.6 IPS |
|
|
Image Classification (I8)
|
99% |
1581
295.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
698
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
694
11.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
711
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5426
6.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
12103
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12430
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1255
93.7 IPS |
|
|
Object Detection (F16)
|
100% |
1708
127.5 IPS |
|
|
Object Detection (I8)
|
97% |
1251
93.4 IPS |
|
|
Face Detection (F32)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (F16)
|
97% |
3806
45.3 IPS |
|
|
Face Detection (I8)
|
97% |
3839
45.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4900
38.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7739
60.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7801
60.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14359
18.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22849
30.1 IPS |
|
|
Style Transfer (I8)
|
100% |
22882
30.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3370
120.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4234
151.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4326
154.5 IPS |
|
|
Text Classification (F32)
|
100% |
2050
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3319
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3340
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
640
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
859
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
647
11.9 IPS |
