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 03 2024 05:03 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% |
1272
238.1 IPS |
|
|
Image Classification (F16)
|
100% |
2373
444.0 IPS |
|
|
Image Classification (I8)
|
99% |
2375
444.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1005
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6288
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
13849
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14249
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1441
107.6 IPS |
|
|
Object Detection (F16)
|
100% |
2480
185.2 IPS |
|
|
Object Detection (I8)
|
97% |
1404
104.8 IPS |
|
|
Face Detection (F32)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5783
68.8 IPS |
|
|
Face Detection (I8)
|
97% |
5550
66.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5584
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11626
90.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11620
90.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18109
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26733
35.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27823
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4221
150.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4968
177.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4908
175.3 IPS |
|
|
Text Classification (F32)
|
100% |
1942
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
3329
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3352
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1333
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1662
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1333
24.5 IPS |
