MacBook Pro (13-inch, 2022)
Geekbench ML Score
3740
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 08 2024 07:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.29 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% |
1236
231.2 IPS |
|
|
Image Classification (F16)
|
100% |
2321
434.3 IPS |
|
|
Image Classification (I8)
|
99% |
2313
432.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
871
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1034
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
978
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6159
7.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
13609
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12978
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1399
104.5 IPS |
|
|
Object Detection (F16)
|
100% |
2473
184.6 IPS |
|
|
Object Detection (I8)
|
97% |
1420
106.0 IPS |
|
|
Face Detection (F32)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5753
68.4 IPS |
|
|
Face Detection (I8)
|
97% |
5469
65.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5301
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11513
89.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11531
89.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17942
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24773
32.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26670
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4190
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4942
176.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4931
176.1 IPS |
|
|
Text Classification (F32)
|
100% |
1899
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
3276
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3309
4.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
1365
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1644
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.6 IPS |
