Air M4 Mac16,12
Geekbench AI Score
4899
Single Precision Score
36202
Half Precision Score
51095
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | churanov |
| Upload Date | December 03 2025 10:21 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17844
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
24914
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21597
350.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30313
491.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122653
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231930
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
17833
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25813
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4131
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
40654
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
58380
693.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8429
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99486
766.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165763
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24278
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233546
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
319697
412.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6057
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53190
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83790
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5631
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16439
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18378
317.6 IPS |
