MacBook Pro (13-inch, 2022)
Geekbench ML Score
3857
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 05:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1257
235.2 IPS |
|
|
Image Classification (F16)
|
100% |
2373
444.0 IPS |
|
|
Image Classification (I8)
|
99% |
2380
445.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
873
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1131
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1012
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6413
7.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
14004
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14258
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1462
109.2 IPS |
|
|
Object Detection (F16)
|
100% |
2495
186.3 IPS |
|
|
Object Detection (I8)
|
97% |
1446
108.0 IPS |
|
|
Face Detection (F32)
|
100% |
3125
37.2 IPS |
|
|
Face Detection (F16)
|
97% |
6014
71.5 IPS |
|
|
Face Detection (I8)
|
97% |
5658
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5616
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11705
90.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11703
90.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18184
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26874
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27888
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4217
150.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5074
181.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5126
183.1 IPS |
|
|
Text Classification (F32)
|
100% |
2019
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3339
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3427
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1318
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1643
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1323
24.3 IPS |
