MacBook Pro (13-inch, 2022)
Geekbench ML Score
3778
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 07:58 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 3.47 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% |
1348
252.2 IPS |
|
|
Image Classification (F16)
|
100% |
2406
450.2 IPS |
|
|
Image Classification (I8)
|
99% |
2372
443.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
780
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1005
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1113
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6457
7.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
13924
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13985
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1364
101.8 IPS |
|
|
Object Detection (F16)
|
100% |
2293
171.2 IPS |
|
|
Object Detection (I8)
|
97% |
1345
100.4 IPS |
|
|
Face Detection (F32)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5870
69.8 IPS |
|
|
Face Detection (I8)
|
97% |
5866
69.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5650
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11616
90.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10305
79.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16706
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26446
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28187
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4120
147.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4888
174.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4931
176.1 IPS |
|
|
Text Classification (F32)
|
100% |
2007
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3346
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3361
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1378
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1567
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1375
25.3 IPS |
