Apple Macbook Air M4 Mac16,12
Geekbench AI Score
4765
Single Precision Score
7727
Half Precision Score
6193
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sageriramadhan |
| Upload Date | November 15 2025 03:47 PM |
| Views | 8 |
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 | 4.28 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2025
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.4 IPS |
|
|
Image Classification (Q)
|
96% |
2248
419.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3131
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3447
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9597
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18866
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16058
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.2 IPS |
|
|
Object Detection (HP)
|
97% |
3649
290.5 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
4066
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7096
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
4268
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13798
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9733
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23106
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38268
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31342
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5889
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7032
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4899
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5794
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5804
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6907
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6845
118.3 IPS |
