MacBook Pro (13-inch, 2022)
Geekbench ML Score
3693
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 09 2024 07:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| 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 | 2.93 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% |
1080
202.1 IPS |
|
|
Image Classification (F16)
|
100% |
2064
386.3 IPS |
|
|
Image Classification (I8)
|
99% |
2088
390.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
742
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
944
15.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1005
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5290
6.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
14139
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14210
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1360
101.5 IPS |
|
|
Object Detection (F16)
|
100% |
2146
160.2 IPS |
|
|
Object Detection (I8)
|
97% |
1346
100.5 IPS |
|
|
Face Detection (F32)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5546
65.9 IPS |
|
|
Face Detection (I8)
|
97% |
5601
66.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5726
44.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11718
90.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11670
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17468
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27716
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27834
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4169
148.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4945
176.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4947
176.7 IPS |
|
|
Text Classification (F32)
|
100% |
2056
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3600
5.17 KIPS |
|
|
Text Classification (I8)
|
96% |
3484
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1319
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1340
24.7 IPS |
