MacBook Pro (13-inch, 2022)
Geekbench ML Score
9589
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 27 2025 04:46 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.45 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% |
3225
603.5 IPS |
|
|
Image Classification (F16)
|
100% |
9633
1.80 KIPS |
|
|
Image Classification (I8)
|
99% |
11455
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1358
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1877
31.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1844
30.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22581
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
94696
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
91020
110.2 IPS |
|
|
Object Detection (F32)
|
100% |
2798
208.9 IPS |
|
|
Object Detection (F16)
|
100% |
5923
442.2 IPS |
|
|
Object Detection (I8)
|
97% |
2701
201.7 IPS |
|
|
Face Detection (F32)
|
100% |
9213
109.5 IPS |
|
|
Face Detection (F16)
|
97% |
16998
202.1 IPS |
|
|
Face Detection (I8)
|
96% |
20453
243.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15895
123.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
49547
384.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
51778
401.5 IPS |
|
|
Style Transfer (F32)
|
100% |
41011
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
149300
196.4 IPS |
|
|
Style Transfer (I8)
|
100% |
149628
196.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5666
202.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34124
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
27463
980.8 IPS |
|
|
Text Classification (F32)
|
100% |
2011
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3507
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3534
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
927
17.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1411
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
943
17.4 IPS |
