MacBook Pro (13-inch, 2022)
Geekbench ML Score
9443
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 26 2025 08:58 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
3268
611.5 IPS |
|
|
Image Classification (F16)
|
100% |
10969
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
11789
2.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
698
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1853
30.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1727
28.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23424
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
83420
101.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
67733
82.0 IPS |
|
|
Object Detection (F32)
|
100% |
1494
111.6 IPS |
|
|
Object Detection (F16)
|
100% |
4927
367.8 IPS |
|
|
Object Detection (I8)
|
97% |
2669
199.2 IPS |
|
|
Face Detection (F32)
|
100% |
9228
109.7 IPS |
|
|
Face Detection (F16)
|
97% |
20093
238.9 IPS |
|
|
Face Detection (I8)
|
96% |
19611
233.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16990
131.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
49211
381.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
71564
555.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41110
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
144885
190.6 IPS |
|
|
Style Transfer (I8)
|
100% |
144827
190.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9356
334.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30261
1.08 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34743
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3449
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3513
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1034
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1134
20.9 IPS |
