MacBook Pro (13-inch, 2022)
Geekbench ML Score
9941
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 01 2024 06:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
3405
637.2 IPS |
|
|
Image Classification (F16)
|
100% |
12065
2.26 KIPS |
|
|
Image Classification (I8)
|
99% |
12494
2.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1396
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2068
34.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2066
34.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23558
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
95632
115.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
98714
119.5 IPS |
|
|
Object Detection (F32)
|
100% |
2832
211.4 IPS |
|
|
Object Detection (F16)
|
100% |
5863
437.7 IPS |
|
|
Object Detection (I8)
|
97% |
2912
217.4 IPS |
|
|
Face Detection (F32)
|
100% |
9073
107.9 IPS |
|
|
Face Detection (F16)
|
97% |
19753
234.9 IPS |
|
|
Face Detection (I8)
|
96% |
20338
241.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16446
127.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
50785
393.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
66654
516.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40905
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
145055
190.8 IPS |
|
|
Style Transfer (I8)
|
100% |
134678
177.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8485
303.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36295
1.30 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36195
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
2040
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3419
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3326
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1391
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
592
10.9 IPS |
