MacBook Pro (13-inch, 2022)
Geekbench ML Score
9411
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 30 2025 07:31 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2951
552.2 IPS |
|
|
Image Classification (F16)
|
100% |
10728
2.01 KIPS |
|
|
Image Classification (I8)
|
99% |
12091
2.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1334
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1670
27.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1858
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
21697
26.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
92344
111.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
97782
118.4 IPS |
|
|
Object Detection (F32)
|
100% |
2859
213.4 IPS |
|
|
Object Detection (F16)
|
100% |
4776
356.6 IPS |
|
|
Object Detection (I8)
|
97% |
2018
150.7 IPS |
|
|
Face Detection (F32)
|
100% |
8871
105.5 IPS |
|
|
Face Detection (F16)
|
97% |
19621
233.3 IPS |
|
|
Face Detection (I8)
|
96% |
20034
238.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
13537
105.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
48292
374.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
48863
378.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40646
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
145463
191.3 IPS |
|
|
Style Transfer (I8)
|
100% |
145800
191.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7498
267.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33488
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33266
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3485
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3515
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1282
23.6 IPS |
|
|
Machine Translation (I8)
|
99% |
835
15.4 IPS |
