MacBook Pro (13-inch, 2022)
Geekbench ML Score
9668
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 24 2025 06:57 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3298
617.2 IPS |
|
|
Image Classification (F16)
|
100% |
9806
1.84 KIPS |
|
|
Image Classification (I8)
|
99% |
9888
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1943
32.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1850
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23183
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
94951
115.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96073
116.3 IPS |
|
|
Object Detection (F32)
|
100% |
2023
151.0 IPS |
|
|
Object Detection (F16)
|
100% |
5836
435.7 IPS |
|
|
Object Detection (I8)
|
97% |
2833
211.5 IPS |
|
|
Face Detection (F32)
|
100% |
8919
106.1 IPS |
|
|
Face Detection (F16)
|
97% |
19426
231.0 IPS |
|
|
Face Detection (I8)
|
96% |
20035
238.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16078
124.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
46389
359.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
48049
372.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40470
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
148694
195.6 IPS |
|
|
Style Transfer (I8)
|
100% |
136216
179.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8992
321.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30467
1.09 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33479
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3360
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3341
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1035
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1406
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
999
18.4 IPS |
