MacBook Pro (13-inch, 2022)
Geekbench ML Score
3533
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2025 06:53 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.07 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% |
1316
246.3 IPS |
|
|
Image Classification (F16)
|
100% |
2254
421.9 IPS |
|
|
Image Classification (I8)
|
99% |
2231
417.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
911
15.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1095
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5951
7.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
14100
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13228
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1111
82.9 IPS |
|
|
Object Detection (F16)
|
100% |
2394
178.7 IPS |
|
|
Object Detection (I8)
|
97% |
1315
98.1 IPS |
|
|
Face Detection (F32)
|
100% |
2881
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
5614
66.8 IPS |
|
|
Face Detection (I8)
|
97% |
5406
64.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5162
40.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10523
81.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10314
80.0 IPS |
|
|
Style Transfer (F32)
|
100% |
14725
19.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27439
36.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27545
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4136
147.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2523
90.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3991
142.5 IPS |
|
|
Text Classification (F32)
|
100% |
1523
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
3762
5.41 KIPS |
|
|
Text Classification (I8)
|
96% |
3789
5.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1313
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1636
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1348
24.8 IPS |
