MacBook Pro (13-inch, 2022)
Geekbench ML Score
3400
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 09 2025 07:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.48 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% |
1256
235.0 IPS |
|
|
Image Classification (F16)
|
100% |
2134
399.4 IPS |
|
|
Image Classification (I8)
|
99% |
2042
382.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1097
18.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1097
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5915
7.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
14424
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14384
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1297
96.8 IPS |
|
|
Object Detection (F16)
|
100% |
1433
107.0 IPS |
|
|
Object Detection (I8)
|
97% |
884
66.0 IPS |
|
|
Face Detection (F32)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (F16)
|
97% |
5686
67.6 IPS |
|
|
Face Detection (I8)
|
96% |
3276
39.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5325
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10737
83.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9088
70.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17308
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27672
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
23147
30.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3698
132.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5173
184.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5200
185.7 IPS |
|
|
Text Classification (F32)
|
100% |
2170
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3607
5.18 KIPS |
|
|
Text Classification (I8)
|
96% |
1561
2.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1318
24.3 IPS |
