MacBook Pro (13-inch, 2022)
Geekbench ML Score
5053
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 06:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.47 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% |
3150
589.4 IPS |
|
|
Image Classification (F16)
|
100% |
3357
628.1 IPS |
|
|
Image Classification (I8)
|
99% |
2517
470.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1305
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1247
20.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1290
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
19399
23.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
23814
28.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
23906
28.9 IPS |
|
|
Object Detection (F32)
|
100% |
2022
151.0 IPS |
|
|
Object Detection (F16)
|
100% |
2315
172.8 IPS |
|
|
Object Detection (I8)
|
97% |
1854
138.4 IPS |
|
|
Face Detection (F32)
|
100% |
8092
96.2 IPS |
|
|
Face Detection (F16)
|
98% |
10187
121.1 IPS |
|
|
Face Detection (I8)
|
97% |
7590
90.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11654
90.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
12608
97.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
12782
99.1 IPS |
|
|
Style Transfer (F32)
|
100% |
31062
40.9 IPS |
|
|
Style Transfer (F16)
|
100% |
40150
52.8 IPS |
|
|
Style Transfer (I8)
|
100% |
38381
50.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6516
232.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7127
254.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7041
251.4 IPS |
|
|
Text Classification (F32)
|
100% |
1990
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
2709
3.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3344
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
884
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
871
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
936
17.2 IPS |
