MacBook Pro (13-inch, 2022)
Geekbench ML Score
3827
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 12 2024 06:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.46 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% |
1376
257.6 IPS |
|
|
Image Classification (F16)
|
100% |
2436
455.9 IPS |
|
|
Image Classification (I8)
|
99% |
2421
453.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
828
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1010
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1023
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6625
8.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
14288
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14239
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1404
104.8 IPS |
|
|
Object Detection (F16)
|
100% |
2337
174.5 IPS |
|
|
Object Detection (I8)
|
97% |
1402
104.7 IPS |
|
|
Face Detection (F32)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
5984
71.2 IPS |
|
|
Face Detection (I8)
|
97% |
5912
70.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5488
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11702
90.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11712
90.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18220
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27284
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
28023
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4183
149.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4944
176.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4948
176.7 IPS |
|
|
Text Classification (F32)
|
100% |
1973
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3074
4.42 KIPS |
|
|
Text Classification (I8)
|
96% |
3353
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1369
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1656
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1391
25.6 IPS |
