MacBook Pro (13-inch, 2022)
Geekbench ML Score
3711
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 22 2025 07:38 PM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
1230
230.1 IPS |
|
|
Image Classification (F16)
|
100% |
2375
444.5 IPS |
|
|
Image Classification (I8)
|
99% |
2461
460.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1082
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1020
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5638
6.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
14353
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14412
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1313
98.1 IPS |
|
|
Object Detection (F16)
|
100% |
1958
146.1 IPS |
|
|
Object Detection (I8)
|
97% |
1308
97.6 IPS |
|
|
Face Detection (F32)
|
100% |
2982
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5157
61.3 IPS |
|
|
Face Detection (I8)
|
96% |
5406
64.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5160
40.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10923
84.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10957
85.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17406
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27173
35.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27553
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3886
138.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5185
185.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5318
189.9 IPS |
|
|
Text Classification (F32)
|
100% |
2133
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3480
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3377
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1316
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1615
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1326
24.4 IPS |
