MacBook Air M4 (2025) Mac16,12
Geekbench AI Score
7343
Single Precision Score
8557
Half Precision Score
7673
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | christophostertag |
| Upload Date | March 15 2025 12:33 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
4040
751.3 IPS |
|
|
Image Classification (HP)
|
100% |
4281
796.1 IPS |
|
|
Image Classification (Q)
|
97% |
3775
704.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4497
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5868
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6013
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22922
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24372
28.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
23173
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
4394
348.5 IPS |
|
|
Object Detection (HP)
|
100% |
4738
375.8 IPS |
|
|
Object Detection (Q)
|
91% |
4005
320.0 IPS |
|
|
Face Detection (SP)
|
100% |
11828
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
13478
160.1 IPS |
|
|
Face Detection (Q)
|
100% |
10309
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18695
144.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20254
156.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17534
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49456
63.6 IPS |
|
|
Style Transfer (HP)
|
100% |
56255
72.3 IPS |
|
|
Style Transfer (Q)
|
96% |
52878
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9788
361.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10554
389.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8452
312.1 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5479
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
759
13.1 IPS |
