MacBook Pro (13-inch, 2022)
Geekbench ML Score
3581
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 27 2025 06:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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% |
1349
252.4 IPS |
|
|
Image Classification (F16)
|
100% |
2443
457.1 IPS |
|
|
Image Classification (I8)
|
99% |
2438
456.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
816
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1091
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1045
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6496
7.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
14429
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14287
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1326
99.0 IPS |
|
|
Object Detection (F16)
|
100% |
2276
169.9 IPS |
|
|
Object Detection (I8)
|
97% |
1397
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
2940
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
3964
47.1 IPS |
|
|
Face Detection (I8)
|
97% |
5584
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5385
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10807
83.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8997
69.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17890
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
28319
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28323
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4064
145.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5219
186.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5199
185.7 IPS |
|
|
Text Classification (F32)
|
100% |
2143
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
2079
2.99 KIPS |
|
|
Text Classification (I8)
|
96% |
1727
2.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1348
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1607
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1107
20.4 IPS |
