MacBook Pro (13-inch, 2022)
Geekbench ML Score
9701
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 14 2025 07:29 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
3468
648.9 IPS |
|
|
Image Classification (F16)
|
100% |
10581
1.98 KIPS |
|
|
Image Classification (I8)
|
99% |
11486
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1297
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1817
30.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1623
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22767
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
93880
113.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
96682
117.1 IPS |
|
|
Object Detection (F32)
|
100% |
2245
167.6 IPS |
|
|
Object Detection (F16)
|
100% |
4806
358.8 IPS |
|
|
Object Detection (I8)
|
97% |
2701
201.7 IPS |
|
|
Face Detection (F32)
|
100% |
9129
108.5 IPS |
|
|
Face Detection (F16)
|
97% |
20161
239.7 IPS |
|
|
Face Detection (I8)
|
96% |
20088
238.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15787
122.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
48326
374.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
62681
486.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40432
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
149731
197.0 IPS |
|
|
Style Transfer (I8)
|
100% |
145846
191.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7286
260.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35962
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35531
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3429
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3362
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1390
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
932
17.1 IPS |
