MacBook Pro (13-inch, 2022)
Geekbench ML Score
9826
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 06:06 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3402
636.5 IPS |
|
|
Image Classification (F16)
|
100% |
11046
2.07 KIPS |
|
|
Image Classification (I8)
|
99% |
11853
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1409
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1984
33.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2000
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23382
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
92125
111.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
87826
106.4 IPS |
|
|
Object Detection (F32)
|
100% |
2864
213.8 IPS |
|
|
Object Detection (F16)
|
100% |
5259
392.6 IPS |
|
|
Object Detection (I8)
|
97% |
2841
212.1 IPS |
|
|
Face Detection (F32)
|
100% |
7897
93.9 IPS |
|
|
Face Detection (F16)
|
97% |
19564
232.6 IPS |
|
|
Face Detection (I8)
|
96% |
19422
230.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16258
126.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
52951
410.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
49828
386.4 IPS |
|
|
Style Transfer (F32)
|
100% |
33326
43.8 IPS |
|
|
Style Transfer (F16)
|
100% |
150346
197.8 IPS |
|
|
Style Transfer (I8)
|
100% |
144497
190.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9503
339.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35436
1.27 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35337
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2047
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3389
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3357
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
879
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1445
26.6 IPS |
|
|
Machine Translation (I8)
|
99% |
894
16.5 IPS |
