MacBook Pro (13-inch, 2022)
Geekbench ML Score
3806
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 06:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 3.46 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% |
1359
254.3 IPS |
|
|
Image Classification (F16)
|
100% |
2415
451.9 IPS |
|
|
Image Classification (I8)
|
99% |
2366
442.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1034
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1155
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6337
7.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
14071
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14115
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1328
99.1 IPS |
|
|
Object Detection (F16)
|
100% |
2335
174.3 IPS |
|
|
Object Detection (I8)
|
97% |
1398
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (F16)
|
97% |
5815
69.1 IPS |
|
|
Face Detection (I8)
|
97% |
5625
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5601
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11566
89.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11174
86.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17929
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28154
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27823
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4092
146.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4886
174.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4917
175.6 IPS |
|
|
Text Classification (F32)
|
100% |
1985
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
3287
4.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3314
4.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
1374
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1552
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1375
25.3 IPS |
