Mac16,12
Geekbench AI Score
4546
Single Precision Score
7646
Half Precision Score
6018
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | December 12 2025 10:02 PM |
| Views | 10 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
3323
618.1 IPS |
|
|
Image Classification (Q)
|
96% |
2259
421.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3288
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9424
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19031
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16203
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2317
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3684
293.3 IPS |
|
|
Object Detection (Q)
|
94% |
2600
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3908
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
6998
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
4186
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8131
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13624
105.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9597
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22181
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37994
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31101
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5832
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4957
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6489
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5204
89.9 IPS |
