MacBook Pro (13-inch, 2022)
Geekbench ML Score
3813
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 08:31 AM |
| Views | 2 |
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 | 3.36 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% |
1336
250.1 IPS |
|
|
Image Classification (F16)
|
100% |
2354
440.4 IPS |
|
|
Image Classification (I8)
|
99% |
2335
437.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
908
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1161
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1011
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5747
6.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
12876
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12931
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1435
107.1 IPS |
|
|
Object Detection (F16)
|
100% |
2484
185.4 IPS |
|
|
Object Detection (I8)
|
97% |
1450
108.3 IPS |
|
|
Face Detection (F32)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (F16)
|
97% |
5915
70.3 IPS |
|
|
Face Detection (I8)
|
97% |
5855
69.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5566
43.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11610
90.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11722
90.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18406
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27456
36.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27150
35.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4201
150.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4999
178.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5063
180.8 IPS |
|
|
Text Classification (F32)
|
100% |
2041
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3285
4.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3347
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1303
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1623
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1281
23.6 IPS |
