Apple Macbook Air M4 Mac16,12
Geekbench AI Score
8636
Single Precision Score
10383
Half Precision Score
8830
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sageriramadhan |
| Upload Date | November 15 2025 03:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4261
792.4 IPS |
|
|
Image Classification (HP)
|
100% |
4599
855.4 IPS |
|
|
Image Classification (Q)
|
96% |
4159
776.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6392
103.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6900
111.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6596
106.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21674
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24892
29.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
24440
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4451
353.1 IPS |
|
|
Object Detection (HP)
|
100% |
4880
387.1 IPS |
|
|
Object Detection (Q)
|
92% |
4482
357.8 IPS |
|
|
Face Detection (SP)
|
100% |
11883
141.2 IPS |
|
|
Face Detection (HP)
|
100% |
14946
177.6 IPS |
|
|
Face Detection (Q)
|
100% |
12075
143.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18165
139.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21084
162.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
19385
151.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49353
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56170
72.2 IPS |
|
|
Style Transfer (Q)
|
96% |
55269
71.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10057
371.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10621
392.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9259
341.9 IPS |
|
|
Text Classification (SP)
|
100% |
3339
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5751
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6010
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1333
23.0 IPS |
