MacBook Pro (13-inch, 2022)
Geekbench ML Score
3838
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 26 2024 07:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.48 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% |
1352
253.0 IPS |
|
|
Image Classification (F16)
|
100% |
2483
464.6 IPS |
|
|
Image Classification (I8)
|
99% |
2488
465.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
844
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1120
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1114
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6528
7.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
14186
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14171
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1296
96.7 IPS |
|
|
Object Detection (F16)
|
100% |
2465
184.0 IPS |
|
|
Object Detection (I8)
|
97% |
1428
106.6 IPS |
|
|
Face Detection (F32)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5803
69.0 IPS |
|
|
Face Detection (I8)
|
97% |
5628
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5580
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11432
88.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11033
85.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17812
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27094
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27315
35.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4079
145.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4986
178.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4969
177.4 IPS |
|
|
Text Classification (F32)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3376
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3370
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1304
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1656
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1375
25.3 IPS |
