MacBook Pro (13-inch, 2022)
Geekbench ML Score
10050
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 29 2025 08:16 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 | 3.47 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% |
3335
624.0 IPS |
|
|
Image Classification (F16)
|
100% |
10210
1.91 KIPS |
|
|
Image Classification (I8)
|
99% |
10515
1.97 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1607
26.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1962
32.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2042
34.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23096
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
93840
113.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
93389
113.1 IPS |
|
|
Object Detection (F32)
|
100% |
2809
209.7 IPS |
|
|
Object Detection (F16)
|
100% |
5398
403.0 IPS |
|
|
Object Detection (I8)
|
97% |
2854
213.1 IPS |
|
|
Face Detection (F32)
|
100% |
9403
111.8 IPS |
|
|
Face Detection (F16)
|
97% |
19238
228.7 IPS |
|
|
Face Detection (I8)
|
96% |
19587
232.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16208
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
49720
385.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
51295
397.8 IPS |
|
|
Style Transfer (F32)
|
100% |
34897
45.9 IPS |
|
|
Style Transfer (F16)
|
100% |
149733
197.0 IPS |
|
|
Style Transfer (I8)
|
100% |
150799
198.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10037
358.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35329
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35462
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3421
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3494
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1064
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1068
19.7 IPS |
