MacBook Pro (13-inch, 2022)
Geekbench ML Score
3827
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 07:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1174
219.7 IPS |
|
|
Image Classification (F16)
|
100% |
2496
467.1 IPS |
|
|
Image Classification (I8)
|
99% |
2502
468.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
782
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1026
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1037
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6506
7.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
14292
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14082
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1365
101.9 IPS |
|
|
Object Detection (F16)
|
100% |
2501
186.7 IPS |
|
|
Object Detection (I8)
|
97% |
1476
110.2 IPS |
|
|
Face Detection (F32)
|
100% |
2916
34.7 IPS |
|
|
Face Detection (F16)
|
97% |
5864
69.7 IPS |
|
|
Face Detection (I8)
|
97% |
5849
69.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5533
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11314
87.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11691
90.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18093
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
28362
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27402
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4110
146.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4944
176.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5080
181.4 IPS |
|
|
Text Classification (F32)
|
100% |
2078
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3346
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3352
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1397
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1591
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1383
25.5 IPS |
