MacBook Pro (13-inch, 2022)
Geekbench ML Score
3773
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 06:41 PM |
| Views | 3 |
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 | 3.30 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% |
1273
238.3 IPS |
|
|
Image Classification (F16)
|
100% |
2097
392.4 IPS |
|
|
Image Classification (I8)
|
99% |
2419
452.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
985
16.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
987
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6263
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
14212
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14160
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1422
106.1 IPS |
|
|
Object Detection (F16)
|
100% |
2308
172.3 IPS |
|
|
Object Detection (I8)
|
97% |
1368
102.1 IPS |
|
|
Face Detection (F32)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (F16)
|
97% |
5584
66.4 IPS |
|
|
Face Detection (I8)
|
97% |
5804
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5673
44.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11587
89.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11173
86.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17502
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27729
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27831
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4201
150.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4924
175.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4998
178.5 IPS |
|
|
Text Classification (F32)
|
100% |
2024
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3391
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3428
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1317
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1619
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1303
24.0 IPS |
