MacBook Pro (13-inch, 2022)
Geekbench ML Score
3764
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 27 2024 06:41 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.47 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% |
1295
242.3 IPS |
|
|
Image Classification (F16)
|
100% |
2320
434.1 IPS |
|
|
Image Classification (I8)
|
99% |
2151
402.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
738
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
978
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1129
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6470
7.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
13911
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13967
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1364
101.9 IPS |
|
|
Object Detection (F16)
|
100% |
2290
170.9 IPS |
|
|
Object Detection (I8)
|
97% |
1326
99.0 IPS |
|
|
Face Detection (F32)
|
100% |
3049
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5686
67.6 IPS |
|
|
Face Detection (I8)
|
97% |
5569
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5633
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11441
88.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11454
88.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17417
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28175
37.1 IPS |
|
|
Style Transfer (I8)
|
100% |
28006
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4223
150.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4890
174.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4915
175.5 IPS |
|
|
Text Classification (F32)
|
100% |
2038
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3360
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3375
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1581
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1366
25.1 IPS |
