M4 MacBook Air Mac16,12
Geekbench AI Score
4818
Single Precision Score
36624
Half Precision Score
51539
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cuber |
| Upload Date | June 23 2025 07:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
17180
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24747
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21982
356.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30260
490.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9927
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122514
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231936
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
18516
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26144
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
43824
520.7 IPS |
|
|
Face Detection (Q)
|
100% |
63009
748.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8664
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99073
763.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167958
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21553
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231163
297.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297029
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49968
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83737
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2906
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6105
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6031
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16553
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18347
317.1 IPS |
