MacBook Pro (13-inch, 2022)
Geekbench ML Score
5646
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 13 2025 08:23 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.30 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3408
637.8 IPS |
|
|
Image Classification (F16)
|
100% |
3554
665.1 IPS |
|
|
Image Classification (I8)
|
99% |
3529
660.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1276
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1252
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1309
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22885
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24748
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24544
29.7 IPS |
|
|
Object Detection (F32)
|
100% |
2873
214.5 IPS |
|
|
Object Detection (F16)
|
100% |
2645
197.5 IPS |
|
|
Object Detection (I8)
|
97% |
2657
198.4 IPS |
|
|
Face Detection (F32)
|
100% |
8870
105.5 IPS |
|
|
Face Detection (F16)
|
98% |
10233
121.7 IPS |
|
|
Face Detection (I8)
|
97% |
10215
121.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15914
123.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17151
133.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17013
131.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41065
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47218
62.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47021
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7091
253.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7616
272.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6529
233.2 IPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3538
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3535
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
762
14.0 IPS |
|
|
Machine Translation (I8)
|
99% |
716
13.2 IPS |
