MacBook Pro (13-inch, 2022)
Geekbench ML Score
3834
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 17 2024 07:19 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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% |
1320
247.0 IPS |
|
|
Image Classification (F16)
|
100% |
2416
452.2 IPS |
|
|
Image Classification (I8)
|
99% |
2334
436.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1039
17.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1146
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6614
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
14023
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14062
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1397
104.3 IPS |
|
|
Object Detection (F16)
|
100% |
2333
174.2 IPS |
|
|
Object Detection (I8)
|
97% |
1387
103.5 IPS |
|
|
Face Detection (F32)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
5931
70.5 IPS |
|
|
Face Detection (I8)
|
97% |
5967
71.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5664
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11694
90.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11324
87.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17913
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27802
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27903
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4107
146.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4831
172.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4841
172.9 IPS |
|
|
Text Classification (F32)
|
100% |
2015
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3306
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3428
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1393
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1583
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1374
25.3 IPS |
