M4 MacBook Air Mac16,12
Geekbench AI Score
8415
Single Precision Score
9528
Half Precision Score
9371
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cuber |
| Upload Date | September 23 2025 08:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4263
792.8 IPS |
|
|
Image Classification (HP)
|
100% |
4365
811.7 IPS |
|
|
Image Classification (Q)
|
96% |
3978
742.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6252
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6680
108.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6385
103.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22083
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25030
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24564
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
4321
342.8 IPS |
|
|
Object Detection (HP)
|
100% |
4675
370.9 IPS |
|
|
Object Detection (Q)
|
92% |
4355
347.7 IPS |
|
|
Face Detection (SP)
|
100% |
11796
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
14612
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
11812
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18389
141.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20239
155.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
18310
143.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49078
63.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56406
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
54564
70.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9475
349.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10022
370.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8760
323.5 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5911
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5929
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3136
54.2 IPS |
