MacBook Pro (13-inch, 2022)
Geekbench ML Score
3547
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 24 2025 08:31 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 2.77 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% |
1331
249.0 IPS |
|
|
Image Classification (F16)
|
100% |
2425
453.7 IPS |
|
|
Image Classification (I8)
|
99% |
2003
374.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
671
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
908
15.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1085
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6076
7.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
12227
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13821
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1309
97.8 IPS |
|
|
Object Detection (F16)
|
100% |
2067
154.3 IPS |
|
|
Object Detection (I8)
|
97% |
1381
103.1 IPS |
|
|
Face Detection (F32)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (F16)
|
97% |
5784
68.8 IPS |
|
|
Face Detection (I8)
|
97% |
5614
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5361
41.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11377
88.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11029
85.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16722
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27987
36.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28143
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4213
150.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4126
147.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3891
139.0 IPS |
|
|
Text Classification (F32)
|
100% |
1848
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
3364
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3344
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1051
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1092
20.1 IPS |
