Macbook Air M4 CPU Mac16,12
Geekbench AI Score
4775
Single Precision Score
7888
Half Precision Score
6331
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kevinhazy |
| Upload Date | December 12 2025 09:18 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.5 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3158
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3588
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9865
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19433
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16629
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7331
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4314
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14418
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10077
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21551
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38554
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31959
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7337
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5046
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5589
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4383
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7196
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7330
126.7 IPS |
