MacBook Pro (13-inch, 2022)
Geekbench ML Score
3796
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 02 2024 07:09 PM |
| Views | 4 |
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 | 3.30 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% |
1297
242.7 IPS |
|
|
Image Classification (F16)
|
100% |
2280
426.7 IPS |
|
|
Image Classification (I8)
|
99% |
2486
465.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
847
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1020
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6234
7.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
13529
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14267
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (F16)
|
100% |
2474
184.7 IPS |
|
|
Object Detection (I8)
|
97% |
1453
108.5 IPS |
|
|
Face Detection (F32)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5589
66.5 IPS |
|
|
Face Detection (I8)
|
97% |
5904
70.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5616
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11715
90.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11304
87.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17506
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27700
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27741
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4163
148.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4590
163.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4960
177.1 IPS |
|
|
Text Classification (F32)
|
100% |
1960
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3330
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3388
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1552
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1330
24.5 IPS |
