Air M4 Mac16,12
Geekbench AI Score
8913
Single Precision Score
11124
Half Precision Score
9871
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | churanov |
| Upload Date | December 03 2025 10:19 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
4593
854.1 IPS |
|
|
Image Classification (HP)
|
100% |
5011
931.9 IPS |
|
|
Image Classification (Q)
|
96% |
4514
843.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7047
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7754
125.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7607
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27067
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31033
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30184
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4573
362.8 IPS |
|
|
Object Detection (HP)
|
100% |
5154
408.8 IPS |
|
|
Object Detection (Q)
|
92% |
4787
382.1 IPS |
|
|
Face Detection (SP)
|
100% |
12116
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
15794
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
13107
155.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19989
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22455
173.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20462
159.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55097
70.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66918
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64732
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11433
422.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11865
438.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10311
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5888
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5787
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1533
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2818
48.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1710
29.5 IPS |
