Mac16,12
Geekbench AI Score
4844
Single Precision Score
7877
Half Precision Score
6336
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 15 2025 02:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
3371
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3084
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3474
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9879
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19179
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16555
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2393
189.8 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2659
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4035
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7411
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4343
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8415
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13721
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9693
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23921
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38935
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31828
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5655
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5629
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4459
76.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7707
133.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7760
134.1 IPS |
