MacBook Pro (13-inch, 2022)
Geekbench ML Score
3871
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 22 2024 05:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B82) |
| 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 | 3.29 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% |
1318
246.7 IPS |
|
|
Image Classification (F16)
|
100% |
2411
451.2 IPS |
|
|
Image Classification (I8)
|
99% |
2347
439.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1163
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1032
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6388
7.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
14121
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14263
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1473
110.0 IPS |
|
|
Object Detection (F16)
|
100% |
2494
186.2 IPS |
|
|
Object Detection (I8)
|
97% |
1394
104.1 IPS |
|
|
Face Detection (F32)
|
100% |
3109
37.0 IPS |
|
|
Face Detection (F16)
|
97% |
5954
70.8 IPS |
|
|
Face Detection (I8)
|
97% |
5591
66.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5719
44.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11717
90.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11773
91.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17600
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27205
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28022
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4207
150.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4981
177.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4919
175.7 IPS |
|
|
Text Classification (F32)
|
100% |
2023
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3464
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3486
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1345
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1661
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1348
24.8 IPS |
