MacBook Air (13-inch, 2025)
Geekbench AI Score
4835
Single Precision Score
7938
Half Precision Score
6350
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | human69 |
| Upload Date | January 25 2026 04:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3167
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3484
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9873
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19309
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16543
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
97% |
3734
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
4107
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7516
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4382
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8447
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13954
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9853
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23319
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38390
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31595
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5954
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7090
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4977
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3285
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5791
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7652
132.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7658
132.3 IPS |
