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 | August 17 2024 04:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 3.43 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% |
1290
241.5 IPS |
|
|
Image Classification (F16)
|
100% |
2369
443.3 IPS |
|
|
Image Classification (I8)
|
99% |
2370
443.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1105
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1015
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6294
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13907
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13900
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1442
107.7 IPS |
|
|
Object Detection (F16)
|
100% |
2474
184.7 IPS |
|
|
Object Detection (I8)
|
97% |
1438
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3008
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5864
69.7 IPS |
|
|
Face Detection (I8)
|
97% |
5566
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5530
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11472
89.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11636
90.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18055
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27105
35.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27081
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4194
149.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4928
176.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4737
169.2 IPS |
|
|
Text Classification (F32)
|
100% |
1956
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3320
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3341
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1337
24.6 IPS |
