MacBook Pro (13-inch, 2022)
Geekbench ML Score
3764
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 28 2024 04:02 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 | 3.30 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% |
1264
236.5 IPS |
|
|
Image Classification (F16)
|
100% |
2353
440.3 IPS |
|
|
Image Classification (I8)
|
99% |
2324
434.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
839
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1084
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
996
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6229
7.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
13920
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14203
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1420
106.0 IPS |
|
|
Object Detection (F16)
|
100% |
2441
182.2 IPS |
|
|
Object Detection (I8)
|
97% |
1354
101.1 IPS |
|
|
Face Detection (F32)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5738
68.2 IPS |
|
|
Face Detection (I8)
|
97% |
5182
61.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5624
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11323
87.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11709
90.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17990
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26950
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27729
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3992
142.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4734
169.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4862
173.6 IPS |
|
|
Text Classification (F32)
|
100% |
1936
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
3369
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3413
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1313
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1637
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1312
24.1 IPS |
