MacBook Air M4 - AI (CPU) Mac16,12
Geekbench AI Score
4744
Single Precision Score
7799
Half Precision Score
6303
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | April 01 2025 09:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
3301
613.9 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3260
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3654
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19141
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16518
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.5 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7452
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4386
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8315
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14640
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10198
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25251
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38305
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31646
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5893
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6762
249.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4810
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6936
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6976
120.5 IPS |
