M4 MacBook Air Mac16,12
Geekbench AI Score
4939
Single Precision Score
8017
Half Precision Score
6419
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cuber |
| Upload Date | September 23 2025 08:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3538
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10084
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19453
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16664
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7644
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4417
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8506
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14036
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9904
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24348
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38699
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31727
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7103
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4961
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6002
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5792
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4538
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7976
137.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8010
138.4 IPS |
