MacBook Pro (13-inch, 2022)
Geekbench ML Score
10152
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 06:46 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.07 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3451
645.7 IPS |
|
|
Image Classification (F16)
|
100% |
10506
1.97 KIPS |
|
|
Image Classification (I8)
|
99% |
12448
2.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1617
27.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2006
33.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2019
33.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22732
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
94721
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
97113
117.6 IPS |
|
|
Object Detection (F32)
|
100% |
2790
208.3 IPS |
|
|
Object Detection (F16)
|
100% |
5326
397.6 IPS |
|
|
Object Detection (I8)
|
97% |
2739
204.5 IPS |
|
|
Face Detection (F32)
|
100% |
9242
109.9 IPS |
|
|
Face Detection (F16)
|
97% |
18809
223.6 IPS |
|
|
Face Detection (I8)
|
96% |
19779
235.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16358
126.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
47741
370.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
49654
385.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40877
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
143823
189.2 IPS |
|
|
Style Transfer (I8)
|
100% |
137987
181.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9110
325.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34352
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36894
1.32 KIPS |
|
|
Text Classification (F32)
|
100% |
2172
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3650
5.25 KIPS |
|
|
Text Classification (I8)
|
96% |
3563
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1129
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1416
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1111
20.4 IPS |
