MacBook Pro (13-inch, 2022)
Geekbench ML Score
3794
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 07 2024 07:03 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| 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 | 3.44 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% |
1368
255.9 IPS |
|
|
Image Classification (F16)
|
100% |
2494
466.7 IPS |
|
|
Image Classification (I8)
|
99% |
2416
452.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1028
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1013
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6441
7.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
14151
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14135
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1414
105.5 IPS |
|
|
Object Detection (F16)
|
100% |
2335
174.3 IPS |
|
|
Object Detection (I8)
|
97% |
1345
100.4 IPS |
|
|
Face Detection (F32)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
5421
64.5 IPS |
|
|
Face Detection (I8)
|
97% |
5772
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5567
43.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11089
86.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11493
89.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18025
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27914
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27209
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4155
148.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4967
177.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4938
176.4 IPS |
|
|
Text Classification (F32)
|
100% |
2011
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3211
4.62 KIPS |
|
|
Text Classification (I8)
|
96% |
3236
4.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1390
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1649
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1321
24.3 IPS |
