MacBook Pro (13-inch, 2022)
Geekbench ML Score
3860
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 03 2024 07:00 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 | 3.41 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% |
1317
246.4 IPS |
|
|
Image Classification (F16)
|
100% |
2388
446.9 IPS |
|
|
Image Classification (I8)
|
99% |
2361
441.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
874
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1165
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1039
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6296
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13938
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13864
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
2472
184.5 IPS |
|
|
Object Detection (I8)
|
97% |
1438
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3091
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
5924
70.4 IPS |
|
|
Face Detection (I8)
|
97% |
5998
71.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5567
43.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11700
90.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11708
90.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18312
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27017
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27354
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4253
151.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5024
179.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5059
180.7 IPS |
|
|
Text Classification (F32)
|
100% |
2015
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3299
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3359
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1369
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1646
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1302
24.0 IPS |
