MacBook Pro (13-inch, 2022)
Geekbench ML Score
3851
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 15 2024 06:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.30 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% |
1300
243.3 IPS |
|
|
Image Classification (F16)
|
100% |
2322
434.6 IPS |
|
|
Image Classification (I8)
|
99% |
2384
446.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1092
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1029
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6385
7.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
14374
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14338
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1471
109.8 IPS |
|
|
Object Detection (F16)
|
100% |
2494
186.2 IPS |
|
|
Object Detection (I8)
|
97% |
1471
109.8 IPS |
|
|
Face Detection (F32)
|
100% |
3110
37.0 IPS |
|
|
Face Detection (F16)
|
97% |
5613
66.7 IPS |
|
|
Face Detection (I8)
|
97% |
5594
66.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5699
44.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11656
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11689
90.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17854
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
27809
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27860
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4236
151.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4960
177.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4902
175.1 IPS |
|
|
Text Classification (F32)
|
100% |
2052
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3340
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3334
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1335
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1661
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1340
24.7 IPS |
