MacBook Pro (13-inch, 2022)
Geekbench ML Score
3825
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 25 2024 07:18 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B82) |
| 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 | 3.32 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% |
1314
245.8 IPS |
|
|
Image Classification (F16)
|
100% |
2353
440.3 IPS |
|
|
Image Classification (I8)
|
99% |
2331
436.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1014
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6222
7.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
13961
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13927
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1442
107.7 IPS |
|
|
Object Detection (F16)
|
100% |
2492
186.1 IPS |
|
|
Object Detection (I8)
|
97% |
1445
107.9 IPS |
|
|
Face Detection (F32)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5786
68.8 IPS |
|
|
Face Detection (I8)
|
97% |
5481
65.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5470
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11724
90.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11617
90.1 IPS |
|
|
Style Transfer (F32)
|
100% |
18039
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27023
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27248
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4207
150.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4948
176.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4943
176.5 IPS |
|
|
Text Classification (F32)
|
100% |
2009
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3393
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3470
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1639
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1339
24.6 IPS |
