MacBook Pro (13-inch, 2022)
Geekbench ML Score
9205
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 07:24 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.47 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% |
2956
553.1 IPS |
|
|
Image Classification (F16)
|
100% |
10288
1.93 KIPS |
|
|
Image Classification (I8)
|
99% |
11218
2.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1250
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1951
32.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1995
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22899
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
87238
105.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
96615
117.0 IPS |
|
|
Object Detection (F32)
|
100% |
2828
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
4869
363.5 IPS |
|
|
Object Detection (I8)
|
97% |
1660
123.9 IPS |
|
|
Face Detection (F32)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (F16)
|
97% |
18972
225.6 IPS |
|
|
Face Detection (I8)
|
96% |
19412
230.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15363
119.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
50735
393.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
48417
375.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29785
39.2 IPS |
|
|
Style Transfer (F16)
|
100% |
142082
186.9 IPS |
|
|
Style Transfer (I8)
|
100% |
144699
190.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6925
247.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35769
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35369
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2153
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3553
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3481
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
958
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1389
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
895
16.5 IPS |
