MacBook Pro (13-inch, 2022)
Geekbench ML Score
5809
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 06 2025 07:05 PM |
| Views | 2 |
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 | 3.48 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% |
3464
648.2 IPS |
|
|
Image Classification (F16)
|
100% |
3351
627.1 IPS |
|
|
Image Classification (I8)
|
99% |
3430
641.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1141
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1410
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23293
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25434
30.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25416
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2918
217.9 IPS |
|
|
Object Detection (F16)
|
100% |
2968
221.6 IPS |
|
|
Object Detection (I8)
|
97% |
2702
201.7 IPS |
|
|
Face Detection (F32)
|
100% |
9219
109.6 IPS |
|
|
Face Detection (F16)
|
98% |
10406
123.7 IPS |
|
|
Face Detection (I8)
|
97% |
10281
122.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16428
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17847
138.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
18215
141.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41082
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47808
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47816
62.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7061
252.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7443
265.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6363
227.2 IPS |
|
|
Text Classification (F32)
|
100% |
1827
2.63 KIPS |
|
|
Text Classification (F16)
|
100% |
3603
5.18 KIPS |
|
|
Text Classification (I8)
|
96% |
3617
5.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
880
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
962
17.7 IPS |
|
|
Machine Translation (I8)
|
99% |
930
17.1 IPS |
