Macbook Air M4 Mac16,12
Geekbench AI Score
4854
Single Precision Score
7936
Half Precision Score
6364
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | avandeputte |
| Upload Date | December 10 2025 09:20 PM |
| Views | 29 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.9 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3206
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3523
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9772
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19277
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16496
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.2 IPS |
|
|
Object Detection (HP)
|
97% |
3724
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4077
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
7404
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4343
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8349
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13929
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9814
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23355
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38370
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31581
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5967
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7221
266.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
5911
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5919
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7613
131.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7581
131.0 IPS |
