MacBook Pro (13-inch, 2022)
Geekbench ML Score
3710
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 07:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.13 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% |
1017
190.3 IPS |
|
|
Image Classification (F16)
|
100% |
2091
391.4 IPS |
|
|
Image Classification (I8)
|
99% |
1941
363.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
845
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1071
17.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
981
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6346
7.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
14357
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14547
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1383
103.3 IPS |
|
|
Object Detection (F16)
|
100% |
2316
172.9 IPS |
|
|
Object Detection (I8)
|
97% |
1368
102.2 IPS |
|
|
Face Detection (F32)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (F16)
|
97% |
5767
68.6 IPS |
|
|
Face Detection (I8)
|
97% |
5559
66.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5588
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11006
85.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11010
85.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17988
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27857
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28525
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4144
148.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5290
188.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5173
184.7 IPS |
|
|
Text Classification (F32)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3510
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3522
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1200
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1367
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1254
23.1 IPS |
