MacBook Pro (13-inch, 2022)
Geekbench ML Score
3814
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 06:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
1302
243.7 IPS |
|
|
Image Classification (F16)
|
100% |
2264
423.6 IPS |
|
|
Image Classification (I8)
|
99% |
2389
447.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
810
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1136
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1123
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6398
7.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
13967
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13893
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1378
102.9 IPS |
|
|
Object Detection (F16)
|
100% |
2330
174.0 IPS |
|
|
Object Detection (I8)
|
97% |
1469
109.7 IPS |
|
|
Face Detection (F32)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (F16)
|
97% |
5766
68.6 IPS |
|
|
Face Detection (I8)
|
97% |
5687
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5552
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11139
86.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11264
87.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17994
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27788
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27908
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4059
144.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4872
174.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4962
177.2 IPS |
|
|
Text Classification (F32)
|
100% |
2013
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3391
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3325
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1562
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1373
25.3 IPS |
