MacBook Pro (13-inch, 2022)
Geekbench ML Score
5217
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 10 2025 07:35 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.24 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% |
2171
406.3 IPS |
|
|
Image Classification (F16)
|
100% |
3370
630.6 IPS |
|
|
Image Classification (I8)
|
99% |
3163
591.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1102
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
684
11.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1248
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22298
27.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
24473
29.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25244
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2441
182.2 IPS |
|
|
Object Detection (F16)
|
100% |
1786
133.3 IPS |
|
|
Object Detection (I8)
|
97% |
1533
114.5 IPS |
|
|
Face Detection (F32)
|
100% |
6994
83.2 IPS |
|
|
Face Detection (F16)
|
98% |
10004
118.9 IPS |
|
|
Face Detection (I8)
|
97% |
10389
123.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16211
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17640
136.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
16911
131.1 IPS |
|
|
Style Transfer (F32)
|
100% |
37144
48.9 IPS |
|
|
Style Transfer (F16)
|
100% |
43524
57.3 IPS |
|
|
Style Transfer (I8)
|
100% |
43505
57.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7119
254.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5899
210.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9389
335.3 IPS |
|
|
Text Classification (F32)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3376
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3346
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
894
16.4 IPS |
|
|
Machine Translation (I8)
|
99% |
946
17.4 IPS |
