MacBook Pro (13-inch, 2022)
Geekbench ML Score
9229
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2025 05:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.44 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% |
2103
393.5 IPS |
|
|
Image Classification (F16)
|
100% |
10196
1.91 KIPS |
|
|
Image Classification (I8)
|
99% |
11488
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1329
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1632
27.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1448
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22147
26.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
89036
107.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
94713
114.7 IPS |
|
|
Object Detection (F32)
|
100% |
2506
187.1 IPS |
|
|
Object Detection (F16)
|
100% |
5168
385.8 IPS |
|
|
Object Detection (I8)
|
97% |
1628
121.5 IPS |
|
|
Face Detection (F32)
|
100% |
8160
97.0 IPS |
|
|
Face Detection (F16)
|
97% |
19606
233.1 IPS |
|
|
Face Detection (I8)
|
96% |
19802
235.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
14598
113.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
58687
455.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
58671
455.0 IPS |
|
|
Style Transfer (F32)
|
100% |
30174
39.7 IPS |
|
|
Style Transfer (F16)
|
100% |
139112
183.0 IPS |
|
|
Style Transfer (I8)
|
100% |
130714
171.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8832
315.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35269
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34862
1.25 KIPS |
|
|
Text Classification (F32)
|
100% |
2066
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3575
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3523
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
977
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1321
24.3 IPS |
|
|
Machine Translation (I8)
|
99% |
929
17.1 IPS |
