MacBook Pro (13-inch, 2022)
Geekbench ML Score
9571
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 23 2025 08:08 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.11 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% |
3468
648.9 IPS |
|
|
Image Classification (F16)
|
100% |
11149
2.09 KIPS |
|
|
Image Classification (I8)
|
99% |
11589
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
953
15.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2010
33.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1869
31.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23312
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
93813
113.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
84568
102.4 IPS |
|
|
Object Detection (F32)
|
100% |
2761
206.1 IPS |
|
|
Object Detection (F16)
|
100% |
5296
395.4 IPS |
|
|
Object Detection (I8)
|
97% |
2091
156.1 IPS |
|
|
Face Detection (F32)
|
100% |
9242
109.9 IPS |
|
|
Face Detection (F16)
|
97% |
20373
242.2 IPS |
|
|
Face Detection (I8)
|
96% |
20366
242.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15971
123.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
47851
371.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
62888
487.7 IPS |
|
|
Style Transfer (F32)
|
100% |
37933
49.9 IPS |
|
|
Style Transfer (F16)
|
100% |
142536
187.5 IPS |
|
|
Style Transfer (I8)
|
100% |
137233
180.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5751
205.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34797
1.24 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36184
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
2134
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3597
5.17 KIPS |
|
|
Text Classification (I8)
|
96% |
3475
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
880
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1412
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
904
16.6 IPS |
