Mac16,12
Geekbench AI Score
4769
Single Precision Score
7904
Half Precision Score
6264
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 17 2025 12:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
3321
617.6 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3127
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8579
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18702
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15455
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.3 IPS |
|
|
Object Detection (HP)
|
97% |
3750
298.5 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7236
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4284
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13858
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9695
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22462
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38291
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31438
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5922
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7131
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6343
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6093
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4439
76.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7524
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7326
126.6 IPS |
