MacBook Pro (13-inch, 2022)
Geekbench ML Score
9477
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 09 2025 08:14 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.48 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% |
3457
647.0 IPS |
|
|
Image Classification (F16)
|
100% |
10667
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11656
2.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1251
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1974
33.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1683
28.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22715
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
94417
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
96968
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
2877
214.8 IPS |
|
|
Object Detection (F16)
|
100% |
5633
420.5 IPS |
|
|
Object Detection (I8)
|
97% |
2879
214.9 IPS |
|
|
Face Detection (F32)
|
100% |
8769
104.3 IPS |
|
|
Face Detection (F16)
|
97% |
20397
242.5 IPS |
|
|
Face Detection (I8)
|
96% |
20464
243.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15964
123.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
48377
375.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
50369
390.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40905
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
143162
188.3 IPS |
|
|
Style Transfer (I8)
|
100% |
142084
186.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7355
262.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35110
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33987
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
1776
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
2889
4.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3457
4.97 KIPS |
|
|
Machine Translation (F32)
|
0% |
683
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1337
24.6 IPS |
|
|
Machine Translation (I8)
|
0% |
684
12.6 IPS |
