MacBook Pro (13-inch, 2022)
Geekbench ML Score
3813
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 01 2024 07:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.40 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1289
241.2 IPS |
|
|
Image Classification (F16)
|
100% |
2349
439.6 IPS |
|
|
Image Classification (I8)
|
99% |
2374
444.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1101
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1012
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6242
7.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
13879
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13934
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1425
106.4 IPS |
|
|
Object Detection (F16)
|
100% |
2466
184.1 IPS |
|
|
Object Detection (I8)
|
97% |
1427
106.5 IPS |
|
|
Face Detection (F32)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5854
69.6 IPS |
|
|
Face Detection (I8)
|
97% |
5727
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5561
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11668
90.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11658
90.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18122
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26826
35.3 IPS |
|
|
Style Transfer (I8)
|
100% |
26958
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4241
151.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4948
176.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4958
177.1 IPS |
|
|
Text Classification (F32)
|
100% |
1974
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3249
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3342
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1645
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.6 IPS |
