MacBook Pro (13-inch, 2022)
Geekbench ML Score
3786
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 29 2024 07:16 PM |
| Views | 2 |
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 | 3.30 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% |
1237
231.5 IPS |
|
|
Image Classification (F16)
|
100% |
2340
437.9 IPS |
|
|
Image Classification (I8)
|
99% |
2346
439.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1039
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1022
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6324
7.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
13895
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14203
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
2478
185.0 IPS |
|
|
Object Detection (I8)
|
97% |
1377
102.8 IPS |
|
|
Face Detection (F32)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5805
69.0 IPS |
|
|
Face Detection (I8)
|
97% |
5256
62.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5616
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11604
90.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11714
90.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17541
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27416
36.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27880
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4088
146.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4954
176.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4908
175.3 IPS |
|
|
Text Classification (F32)
|
100% |
1947
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3319
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3322
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1327
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1635
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.5 IPS |
