Mac16,12
Geekbench AI Score
8371
Single Precision Score
9760
Half Precision Score
9062
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jchillari |
| Upload Date | December 13 2025 11:14 AM |
| Views | 9 |
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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4248
790.1 IPS |
|
|
Image Classification (HP)
|
100% |
4589
853.5 IPS |
|
|
Image Classification (Q)
|
96% |
4118
769.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6407
103.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6903
111.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6622
107.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22242
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25325
29.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
24733
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
4482
355.5 IPS |
|
|
Object Detection (HP)
|
100% |
4896
388.3 IPS |
|
|
Object Detection (Q)
|
92% |
4476
357.3 IPS |
|
|
Face Detection (SP)
|
100% |
12007
142.7 IPS |
|
|
Face Detection (HP)
|
100% |
14950
177.6 IPS |
|
|
Face Detection (Q)
|
100% |
12072
143.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19250
148.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21124
162.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
19420
151.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49765
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
57240
73.6 IPS |
|
|
Style Transfer (Q)
|
96% |
55495
71.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10057
371.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10620
392.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9192
339.4 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5791
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5763
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1795
31.0 IPS |
