MacBook Pro (13-inch, 2022)
Geekbench ML Score
3586
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2025 05:33 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.04 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% |
1091
204.2 IPS |
|
|
Image Classification (F16)
|
100% |
2126
397.8 IPS |
|
|
Image Classification (I8)
|
99% |
2072
387.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
658
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
924
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
823
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6033
7.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
13982
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14289
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1446
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
2242
167.4 IPS |
|
|
Object Detection (I8)
|
97% |
1426
106.5 IPS |
|
|
Face Detection (F32)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (F16)
|
97% |
5254
62.5 IPS |
|
|
Face Detection (I8)
|
96% |
5151
61.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4844
37.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9876
76.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8746
67.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17305
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27775
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27783
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4146
148.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5271
188.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5263
188.0 IPS |
|
|
Text Classification (F32)
|
100% |
2014
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3366
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3545
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1313
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1310
24.1 IPS |
