MacBook Pro (13-inch, 2022)
Geekbench ML Score
3645
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 20 2025 05:47 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.46 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
246.6 IPS |
|
|
Image Classification (F16)
|
100% |
2372
443.8 IPS |
|
|
Image Classification (I8)
|
99% |
2260
422.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
708
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
905
15.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
922
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4950
5.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
14048
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14106
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1298
96.9 IPS |
|
|
Object Detection (F16)
|
100% |
2282
170.4 IPS |
|
|
Object Detection (I8)
|
97% |
1234
92.1 IPS |
|
|
Face Detection (F32)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
5624
66.9 IPS |
|
|
Face Detection (I8)
|
97% |
5553
66.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5191
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10384
80.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10177
78.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17133
22.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26573
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
28335
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4003
142.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5085
181.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5258
187.8 IPS |
|
|
Text Classification (F32)
|
100% |
2123
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3481
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3431
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1284
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1596
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1357
25.0 IPS |
