MacBook Pro (13-inch, 2022)
Geekbench ML Score
3811
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 31 2024 05:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| 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 | 3.47 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% |
1330
248.8 IPS |
|
|
Image Classification (F16)
|
100% |
2384
446.1 IPS |
|
|
Image Classification (I8)
|
99% |
2393
447.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
794
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1100
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1115
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6277
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
13982
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13959
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1376
102.8 IPS |
|
|
Object Detection (F16)
|
100% |
2323
173.5 IPS |
|
|
Object Detection (I8)
|
97% |
1448
108.1 IPS |
|
|
Face Detection (F32)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5646
67.1 IPS |
|
|
Face Detection (I8)
|
97% |
5804
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5627
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10976
85.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11268
87.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18053
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27837
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27985
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4089
146.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4817
172.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4969
177.5 IPS |
|
|
Text Classification (F32)
|
100% |
2034
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3341
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3366
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1569
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1377
25.3 IPS |
