MacBook Pro (14-inch, 2021)
Geekbench ML Score
1809
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:07 AM |
| Views | 27 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.2 (Build 23B92) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
904
169.1 IPS |
|
|
Image Classification (F16)
|
100% |
883
165.2 IPS |
|
|
Image Classification (I8)
|
99% |
909
170.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
490
8.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
450
7.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
451
7.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
9607
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
13453
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13437
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
971
72.5 IPS |
|
|
Object Detection (F16)
|
100% |
1016
75.9 IPS |
|
|
Object Detection (I8)
|
97% |
963
71.9 IPS |
|
|
Face Detection (F32)
|
100% |
1919
22.8 IPS |
|
|
Face Detection (F16)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (I8)
|
99% |
1696
20.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3528
27.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3172
24.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3383
26.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12479
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12991
17.1 IPS |
|
|
Style Transfer (I8)
|
100% |
12897
17.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2391
85.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2215
79.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2212
79.0 IPS |
|
|
Text Classification (F32)
|
100% |
420
603.3 IPS |
|
|
Text Classification (F16)
|
100% |
566
813.9 IPS |
|
|
Text Classification (I8)
|
96% |
504
724.3 IPS |
|
|
Machine Translation (F32)
|
100% |
853
15.7 IPS |
|
|
Machine Translation (F16)
|
99% |
965
17.8 IPS |
|
|
Machine Translation (I8)
|
99% |
888
16.3 IPS |
