MacBook Pro (13-inch, 2022)
Geekbench ML Score
5825
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 05:21 PM |
| Views | 5 |
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 | 3.48 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% |
3360
628.8 IPS |
|
|
Image Classification (F16)
|
100% |
3389
634.2 IPS |
|
|
Image Classification (I8)
|
99% |
3374
631.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1232
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1496
25.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1505
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22900
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24973
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25440
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2856
213.2 IPS |
|
|
Object Detection (F16)
|
100% |
2909
217.1 IPS |
|
|
Object Detection (I8)
|
97% |
2857
213.3 IPS |
|
|
Face Detection (F32)
|
100% |
9117
108.4 IPS |
|
|
Face Detection (F16)
|
98% |
10804
128.5 IPS |
|
|
Face Detection (I8)
|
97% |
10891
129.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15925
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17076
132.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
16938
131.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40592
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47269
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47752
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6112
218.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7790
278.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7030
251.1 IPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3332
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3330
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
917
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
881
16.2 IPS |
