MacBook Pro (13-inch, 2022)
Geekbench ML Score
9600
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 22 2025 04:44 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.46 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% |
3289
615.5 IPS |
|
|
Image Classification (F16)
|
100% |
8102
1.52 KIPS |
|
|
Image Classification (I8)
|
99% |
11582
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1314
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1585
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1608
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22831
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
93023
112.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
92950
112.6 IPS |
|
|
Object Detection (F32)
|
100% |
2862
213.7 IPS |
|
|
Object Detection (F16)
|
100% |
5193
387.7 IPS |
|
|
Object Detection (I8)
|
97% |
2796
208.8 IPS |
|
|
Face Detection (F32)
|
100% |
8785
104.5 IPS |
|
|
Face Detection (F16)
|
97% |
19908
236.7 IPS |
|
|
Face Detection (I8)
|
96% |
20158
239.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15970
123.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
45990
356.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
45977
356.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40462
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
148749
195.7 IPS |
|
|
Style Transfer (I8)
|
100% |
133551
175.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7644
273.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34619
1.24 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33982
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2092
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3509
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3515
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1044
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1059
19.5 IPS |
