MacBook Pro (13-inch, 2022)
Geekbench ML Score
3912
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 09 2024 06:45 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 3.46 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% |
1332
249.3 IPS |
|
|
Image Classification (F16)
|
100% |
2499
467.6 IPS |
|
|
Image Classification (I8)
|
99% |
2476
463.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
876
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1108
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1156
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6551
7.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
14335
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14349
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1454
108.6 IPS |
|
|
Object Detection (F16)
|
100% |
2491
185.9 IPS |
|
|
Object Detection (I8)
|
97% |
1478
110.3 IPS |
|
|
Face Detection (F32)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5930
70.5 IPS |
|
|
Face Detection (I8)
|
97% |
5934
70.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5667
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11730
91.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11764
91.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18274
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27841
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27876
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4190
149.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4935
176.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4968
177.4 IPS |
|
|
Text Classification (F32)
|
100% |
2025
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3315
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
3325
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1399
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1655
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1395
25.7 IPS |
