Mac16,12
Geekbench AI Score
4858
Single Precision Score
7925
Half Precision Score
6339
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 04:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
3355
624.0 IPS |
|
|
Image Classification (Q)
|
96% |
2297
428.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3131
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3514
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9803
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19326
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16567
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
97% |
3750
298.5 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
7401
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4373
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8377
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13925
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9829
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23887
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38493
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31657
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4961
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3351
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5888
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5686
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4498
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7698
133.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7637
132.0 IPS |
