MacBook Pro (13-inch, 2022)
Geekbench ML Score
3733
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 26 2024 06:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1304
244.0 IPS |
|
|
Image Classification (F16)
|
100% |
2324
434.8 IPS |
|
|
Image Classification (I8)
|
99% |
2336
437.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1120
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
999
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6280
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
13911
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13939
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1419
106.0 IPS |
|
|
Object Detection (F16)
|
100% |
2465
184.0 IPS |
|
|
Object Detection (I8)
|
97% |
1430
106.7 IPS |
|
|
Face Detection (F32)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5873
69.8 IPS |
|
|
Face Detection (I8)
|
97% |
5624
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5455
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11274
87.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11489
89.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18048
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27081
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27044
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4188
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5012
179.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4948
176.7 IPS |
|
|
Text Classification (F32)
|
100% |
2011
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3277
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
1915
2.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1326
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1643
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.5 IPS |
