MacBook Pro (13-inch, 2022)
Geekbench ML Score
5768
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 29 2025 06:41 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.46 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% |
3348
626.6 IPS |
|
|
Image Classification (F16)
|
100% |
3405
637.1 IPS |
|
|
Image Classification (I8)
|
99% |
3334
624.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1532
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1448
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1182
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22942
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25439
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25144
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
1803
134.6 IPS |
|
|
Object Detection (F16)
|
100% |
2903
216.7 IPS |
|
|
Object Detection (I8)
|
97% |
2823
210.7 IPS |
|
|
Face Detection (F32)
|
100% |
8856
105.3 IPS |
|
|
Face Detection (F16)
|
98% |
7593
90.3 IPS |
|
|
Face Detection (I8)
|
97% |
5260
62.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15874
123.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17599
136.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
14687
113.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41123
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47795
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47522
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9724
347.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9068
323.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8604
307.3 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3571
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3514
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1039
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1069
19.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1045
19.2 IPS |
