MacBook Pro (13-inch, 2022)
Geekbench ML Score
9446
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 25 2025 07:26 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3380
632.6 IPS |
|
|
Image Classification (F16)
|
100% |
10581
1.98 KIPS |
|
|
Image Classification (I8)
|
99% |
10879
2.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1390
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2016
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1726
28.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22995
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
87016
105.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
96837
117.3 IPS |
|
|
Object Detection (F32)
|
100% |
2322
173.3 IPS |
|
|
Object Detection (F16)
|
100% |
4880
364.3 IPS |
|
|
Object Detection (I8)
|
97% |
2877
214.8 IPS |
|
|
Face Detection (F32)
|
100% |
9051
107.6 IPS |
|
|
Face Detection (F16)
|
97% |
18995
225.9 IPS |
|
|
Face Detection (I8)
|
96% |
19389
230.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10292
79.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
44604
345.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
47375
367.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41067
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
143486
188.7 IPS |
|
|
Style Transfer (I8)
|
100% |
148306
195.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7220
257.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33289
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32849
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
2136
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3555
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3578
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
908
16.7 IPS |
