MacBook Air (13-inch, 2025)
Geekbench AI Score
2723
Single Precision Score
21905
Half Precision Score
30566
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | foolsmac |
| Upload Date | February 04 2026 06:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| Model | MacBook Air (13-inch, 2025) |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 2.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1101
204.7 IPS |
|
|
Image Classification (HP)
|
100% |
11191
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15146
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1205
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13399
217.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17430
282.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5660
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
67393
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
126493
148.3 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
100% |
11726
930.1 IPS |
|
|
Object Detection (Q)
|
91% |
15707
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
2250
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
26196
311.3 IPS |
|
|
Face Detection (Q)
|
100% |
36865
438.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4596
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
60707
467.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
102462
801.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13246
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
149147
191.7 IPS |
|
|
Style Transfer (Q)
|
96% |
213501
275.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3386
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32814
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53566
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3089
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3097
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2661
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8930
153.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10147
175.4 IPS |
