MacBook Air 13 M4 Mac16,12
Geekbench AI Score
4843
Single Precision Score
7926
Half Precision Score
6373
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Appler |
| Upload Date | September 29 2025 12:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.9 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3190
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3620
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10007
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19423
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16667
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7458
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4453
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8662
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14687
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10273
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21668
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38647
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31905
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7117
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5682
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4423
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7362
127.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7267
125.6 IPS |
