MacBook Air (13-inch, M4, 2025)/M4 Mac16,12
Geekbench AI Score
4706
Single Precision Score
36381
Half Precision Score
51563
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2025 05:31 AM |
| Views | 7 |
| Notes | MacBook Air (13-inch, M4, 2025)/M4/16GB/256GBSSD/8 Core GPU |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
2002
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
17480
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25342
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21765
352.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30292
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9951
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123263
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232538
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
18208
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25736
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
42949
510.3 IPS |
|
|
Face Detection (Q)
|
100% |
61656
732.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8288
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99194
764.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168673
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25277
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233460
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294624
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5888
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48688
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83252
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5977
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6319
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3948
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16438
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17941
310.0 IPS |
