MacBook Pro (13-inch, 2022)
Geekbench ML Score
3833
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 01 2024 06:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
1314
245.9 IPS |
|
|
Image Classification (F16)
|
100% |
2374
444.3 IPS |
|
|
Image Classification (I8)
|
99% |
2371
443.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1117
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1013
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6294
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13985
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13917
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1439
107.4 IPS |
|
|
Object Detection (F16)
|
100% |
2473
184.7 IPS |
|
|
Object Detection (I8)
|
97% |
1448
108.1 IPS |
|
|
Face Detection (F32)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (F16)
|
97% |
5781
68.7 IPS |
|
|
Face Detection (I8)
|
97% |
5793
68.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5568
43.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11650
90.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11625
90.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18049
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26999
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27081
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4182
149.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5011
179.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5023
179.4 IPS |
|
|
Text Classification (F32)
|
100% |
2013
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3264
4.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3352
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1383
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1644
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1328
24.4 IPS |
