MacBook Pro (13-inch, 2022)
Geekbench ML Score
3632
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 17 2025 06:43 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.18 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% |
1076
201.4 IPS |
|
|
Image Classification (F16)
|
100% |
2151
402.5 IPS |
|
|
Image Classification (I8)
|
99% |
2209
413.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
745
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1056
17.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
995
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6373
7.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
13081
15.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13196
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1259
94.0 IPS |
|
|
Object Detection (F16)
|
100% |
2211
165.0 IPS |
|
|
Object Detection (I8)
|
97% |
1279
95.5 IPS |
|
|
Face Detection (F32)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (F16)
|
97% |
5367
63.8 IPS |
|
|
Face Detection (I8)
|
97% |
5582
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5474
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10599
82.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10704
83.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18095
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
28580
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28344
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4120
147.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5180
185.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5201
185.7 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3171
4.56 KIPS |
|
|
Text Classification (I8)
|
96% |
2956
4.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1222
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1508
27.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1317
24.2 IPS |
