MacBook Pro (13-inch, 2022)
Geekbench ML Score
3821
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 01 2024 07:31 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 | 3.45 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% |
1347
252.1 IPS |
|
|
Image Classification (F16)
|
100% |
2409
450.7 IPS |
|
|
Image Classification (I8)
|
99% |
2483
464.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
885
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1187
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1156
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6431
7.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
13985
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14141
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1228
91.7 IPS |
|
|
Object Detection (F16)
|
100% |
2480
185.1 IPS |
|
|
Object Detection (I8)
|
97% |
1467
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (F16)
|
97% |
4503
53.5 IPS |
|
|
Face Detection (I8)
|
97% |
5892
70.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5655
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11308
87.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11159
86.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16245
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27905
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28039
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4155
148.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4975
177.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5054
180.5 IPS |
|
|
Text Classification (F32)
|
100% |
2020
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3384
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3370
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1382
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1313
24.2 IPS |
