MacBook Pro (13-inch, 2022)
Geekbench ML Score
3811
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1309
244.9 IPS |
|
|
Image Classification (F16)
|
100% |
2341
438.1 IPS |
|
|
Image Classification (I8)
|
99% |
2321
434.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
899
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1105
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1017
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6293
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13745
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
13954
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1435
107.2 IPS |
|
|
Object Detection (F16)
|
100% |
2489
185.8 IPS |
|
|
Object Detection (I8)
|
97% |
1451
108.4 IPS |
|
|
Face Detection (F32)
|
100% |
2923
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
5898
70.1 IPS |
|
|
Face Detection (I8)
|
97% |
5695
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5477
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11563
89.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11639
90.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18184
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27096
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26972
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4245
151.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4900
175.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5048
180.3 IPS |
|
|
Text Classification (F32)
|
100% |
1973
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3246
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3388
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1275
23.5 IPS |
