MacBook Pro (13-inch, 2022)
Geekbench ML Score
9052
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 07:04 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 | 3.30 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2041
381.9 IPS |
|
|
Image Classification (F16)
|
100% |
10659
1.99 KIPS |
|
|
Image Classification (I8)
|
99% |
10879
2.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1318
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1998
33.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1712
28.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22894
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
72029
87.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
85971
104.1 IPS |
|
|
Object Detection (F32)
|
100% |
1952
145.7 IPS |
|
|
Object Detection (F16)
|
100% |
4851
362.1 IPS |
|
|
Object Detection (I8)
|
97% |
2811
209.9 IPS |
|
|
Face Detection (F32)
|
100% |
9222
109.6 IPS |
|
|
Face Detection (F16)
|
97% |
18791
223.4 IPS |
|
|
Face Detection (I8)
|
96% |
18825
223.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10263
79.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
43068
334.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
53555
415.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40674
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
123744
162.8 IPS |
|
|
Style Transfer (I8)
|
100% |
149223
196.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7206
257.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35303
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33468
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2078
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3415
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3436
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1381
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
876
16.1 IPS |
