MacBook Air 13 M4 Mac16,12
Geekbench AI Score
4840
Single Precision Score
36664
Half Precision Score
51822
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Appler |
| Upload Date | September 29 2025 12:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
17506
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
25170
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22045
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30047
487.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122496
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231654
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
18457
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25960
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4235
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
43852
521.1 IPS |
|
|
Face Detection (Q)
|
100% |
63662
756.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8685
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99514
766.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169120
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21731
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233748
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
295625
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49168
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83996
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6131
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16438
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18738
323.8 IPS |
