MacBook Pro (13-inch, 2022)
Geekbench ML Score
3555
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 12 2025 07:21 PM |
| Views | 7 |
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 | 3.27 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% |
1197
223.9 IPS |
|
|
Image Classification (F16)
|
100% |
2333
436.6 IPS |
|
|
Image Classification (I8)
|
99% |
2350
439.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
731
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1103
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
955
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4585
5.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
12628
15.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14078
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1230
91.8 IPS |
|
|
Object Detection (F16)
|
100% |
2046
152.7 IPS |
|
|
Object Detection (I8)
|
97% |
1160
86.6 IPS |
|
|
Face Detection (F32)
|
100% |
2813
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
4875
58.0 IPS |
|
|
Face Detection (I8)
|
96% |
5148
61.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4069
31.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10529
81.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9519
73.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16485
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27158
35.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27159
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3886
138.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5214
186.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5192
185.4 IPS |
|
|
Text Classification (F32)
|
100% |
2121
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3540
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3577
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1281
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1682
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1309
24.1 IPS |
