MacBook Pro (13-inch, 2022)
Geekbench ML Score
9458
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 05:23 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
2337
437.3 IPS |
|
|
Image Classification (F16)
|
100% |
11450
2.14 KIPS |
|
|
Image Classification (I8)
|
99% |
11508
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1467
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1886
31.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1471
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
15630
18.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
93365
113.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96575
116.9 IPS |
|
|
Object Detection (F32)
|
100% |
2855
213.2 IPS |
|
|
Object Detection (F16)
|
100% |
5530
412.8 IPS |
|
|
Object Detection (I8)
|
97% |
2866
214.0 IPS |
|
|
Face Detection (F32)
|
100% |
9340
111.1 IPS |
|
|
Face Detection (F16)
|
97% |
20275
241.1 IPS |
|
|
Face Detection (I8)
|
96% |
20196
240.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15930
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
47625
369.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
44901
348.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40690
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
147193
193.6 IPS |
|
|
Style Transfer (I8)
|
100% |
150915
198.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6054
216.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
37357
1.33 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36313
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2059
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3304
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3314
4.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
877
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1418
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
869
16.0 IPS |
