MacBook Pro (13-inch, 2022)
Geekbench ML Score
9443
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 03 2025 06:26 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 | 2.81 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% |
2322
434.6 IPS |
|
|
Image Classification (F16)
|
100% |
10768
2.01 KIPS |
|
|
Image Classification (I8)
|
99% |
11371
2.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1409
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1924
32.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1830
30.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22479
27.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
95225
115.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
97239
117.8 IPS |
|
|
Object Detection (F32)
|
100% |
1831
136.7 IPS |
|
|
Object Detection (F16)
|
100% |
6004
448.2 IPS |
|
|
Object Detection (I8)
|
97% |
2830
211.2 IPS |
|
|
Face Detection (F32)
|
100% |
8863
105.4 IPS |
|
|
Face Detection (F16)
|
97% |
14225
169.1 IPS |
|
|
Face Detection (I8)
|
96% |
13312
158.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
13539
105.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
57373
444.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
51811
401.8 IPS |
|
|
Style Transfer (F32)
|
100% |
39226
51.6 IPS |
|
|
Style Transfer (F16)
|
100% |
139393
183.4 IPS |
|
|
Style Transfer (I8)
|
100% |
138283
181.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8939
319.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26137
933.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
36289
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2150
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3631
5.22 KIPS |
|
|
Text Classification (I8)
|
96% |
3610
5.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
1106
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1377
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1056
19.4 IPS |
