MacBook Pro (13-inch, 2022)
Geekbench ML Score
9735
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2025 07:24 PM |
| Views | 2 |
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 | 3.46 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% |
3418
639.5 IPS |
|
|
Image Classification (F16)
|
100% |
10913
2.04 KIPS |
|
|
Image Classification (I8)
|
99% |
11651
2.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1399
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1872
31.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1591
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22653
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94429
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
96815
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2083
155.5 IPS |
|
|
Object Detection (F16)
|
100% |
5277
394.0 IPS |
|
|
Object Detection (I8)
|
97% |
2211
165.1 IPS |
|
|
Face Detection (F32)
|
100% |
8862
105.4 IPS |
|
|
Face Detection (F16)
|
97% |
20072
238.7 IPS |
|
|
Face Detection (I8)
|
96% |
20135
239.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15843
122.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
49377
382.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
48425
375.5 IPS |
|
|
Style Transfer (F32)
|
100% |
35210
46.3 IPS |
|
|
Style Transfer (F16)
|
100% |
149373
196.5 IPS |
|
|
Style Transfer (I8)
|
100% |
149106
196.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9723
347.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33751
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33390
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2130
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3582
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3606
5.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1061
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1399
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1030
19.0 IPS |
