MacBook Pro (14-inch, 2021)
Geekbench ML Score
4542
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 09:07 AM |
| Views | 4 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3355
627.7 IPS |
|
|
Image Classification (F16)
|
100% |
3382
632.8 IPS |
|
|
Image Classification (I8)
|
99% |
2930
548.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1074
17.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1082
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1117
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
28292
34.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
28718
34.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
27881
33.8 IPS |
|
|
Object Detection (F32)
|
100% |
2558
191.0 IPS |
|
|
Object Detection (F16)
|
100% |
2653
198.1 IPS |
|
|
Object Detection (I8)
|
97% |
2359
176.1 IPS |
|
|
Face Detection (F32)
|
100% |
10644
126.6 IPS |
|
|
Face Detection (F16)
|
97% |
10794
128.3 IPS |
|
|
Face Detection (I8)
|
96% |
9680
115.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16636
129.0 IPS |
|
|
Depth Estimation (F16)
|
96% |
16634
129.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
15208
117.9 IPS |
|
|
Style Transfer (F32)
|
100% |
46453
61.1 IPS |
|
|
Style Transfer (F16)
|
100% |
49972
65.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47070
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5710
203.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6578
234.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6240
222.9 IPS |
|
|
Text Classification (F32)
|
100% |
584
839.9 IPS |
|
|
Text Classification (F16)
|
100% |
512
736.2 IPS |
|
|
Text Classification (I8)
|
96% |
564
811.0 IPS |
|
|
Machine Translation (F32)
|
100% |
567
10.4 IPS |
|
|
Machine Translation (F16)
|
100% |
549
10.1 IPS |
|
|
Machine Translation (I8)
|
99% |
530
9.76 IPS |
