Air M4 Mac16,12
Geekbench AI Score
4836
Single Precision Score
7874
Half Precision Score
6332
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | churanov |
| Upload Date | December 03 2025 10:17 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3343
621.6 IPS |
|
|
Image Classification (Q)
|
96% |
2324
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3131
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3488
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9917
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19249
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16476
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
97% |
3695
294.2 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4082
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
7322
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4291
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8355
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13909
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9816
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23111
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38394
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31536
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5932
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4977
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5740
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5856
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7621
131.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7546
130.4 IPS |
