MacBook Air 13 M4 Mac16,12
Geekbench AI Score
9489
Single Precision Score
10406
Half Precision Score
9764
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Appler |
| Upload Date | September 29 2025 12:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4498
836.4 IPS |
|
|
Image Classification (HP)
|
100% |
4779
888.7 IPS |
|
|
Image Classification (Q)
|
96% |
4548
849.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7146
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7646
123.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7586
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27690
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29712
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29409
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4594
364.4 IPS |
|
|
Object Detection (HP)
|
100% |
5157
409.1 IPS |
|
|
Object Detection (Q)
|
92% |
4748
379.0 IPS |
|
|
Face Detection (SP)
|
100% |
12609
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
16494
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
13251
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20539
158.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21867
168.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20303
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56272
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66640
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64683
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11620
429.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11478
423.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10286
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5678
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2881
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1609
27.8 IPS |
