MacBook Pro (13-inch, 2022)
Geekbench ML Score
6101
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 17 2025 06:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
3422
640.3 IPS |
|
|
Image Classification (F16)
|
100% |
3532
661.0 IPS |
|
|
Image Classification (I8)
|
99% |
3485
652.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1417
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1325
22.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1603
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23397
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25498
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25472
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2795
208.6 IPS |
|
|
Object Detection (F16)
|
100% |
2847
212.6 IPS |
|
|
Object Detection (I8)
|
97% |
2835
211.6 IPS |
|
|
Face Detection (F32)
|
100% |
8722
103.7 IPS |
|
|
Face Detection (F16)
|
98% |
10879
129.4 IPS |
|
|
Face Detection (I8)
|
97% |
10116
120.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15605
121.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17418
135.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
18364
142.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41142
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47216
62.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47451
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7411
264.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8181
292.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10198
364.2 IPS |
|
|
Text Classification (F32)
|
100% |
2015
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3352
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3366
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1113
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1121
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1088
20.0 IPS |
