MacBook Pro (13-inch, 2022)
Geekbench ML Score
10074
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 16 2025 07:23 PM |
| Views | 1 |
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 | 3.48 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% |
3353
627.5 IPS |
|
|
Image Classification (F16)
|
100% |
10705
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
10834
2.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1568
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1993
33.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1851
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23410
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
94334
114.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
94025
113.9 IPS |
|
|
Object Detection (F32)
|
100% |
2894
216.1 IPS |
|
|
Object Detection (F16)
|
100% |
5585
417.0 IPS |
|
|
Object Detection (I8)
|
97% |
2813
210.0 IPS |
|
|
Face Detection (F32)
|
100% |
8605
102.3 IPS |
|
|
Face Detection (F16)
|
97% |
15676
186.4 IPS |
|
|
Face Detection (I8)
|
96% |
19916
236.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16012
124.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
62017
480.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
45289
351.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40525
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
149703
196.9 IPS |
|
|
Style Transfer (I8)
|
100% |
145418
191.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9703
346.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35008
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34256
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2125
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3585
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3485
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1129
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1421
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1113
20.5 IPS |
