MacBook Pro (13-inch, 2022)
Geekbench ML Score
10285
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 19 2025 06:49 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.46 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% |
3451
645.7 IPS |
|
|
Image Classification (F16)
|
100% |
10155
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
10384
1.94 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1377
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1933
32.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1837
30.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23009
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94477
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
97857
118.5 IPS |
|
|
Object Detection (F32)
|
100% |
2788
208.1 IPS |
|
|
Object Detection (F16)
|
100% |
5981
446.5 IPS |
|
|
Object Detection (I8)
|
97% |
2886
215.4 IPS |
|
|
Face Detection (F32)
|
100% |
8907
105.9 IPS |
|
|
Face Detection (F16)
|
97% |
20167
239.8 IPS |
|
|
Face Detection (I8)
|
96% |
20187
240.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16422
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
66733
517.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
72191
559.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40678
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
149675
196.9 IPS |
|
|
Style Transfer (I8)
|
100% |
144503
190.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9920
354.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33888
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34540
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2091
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3454
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3518
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1409
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1127
20.7 IPS |
