Mac16,12
Geekbench AI Score
6674
Single Precision Score
8340
Half Precision Score
7442
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | drich290195 |
| Upload Date | March 12 2025 09:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4053
753.8 IPS |
|
|
Image Classification (HP)
|
100% |
4375
813.6 IPS |
|
|
Image Classification (Q)
|
97% |
3817
712.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3313
53.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5628
91.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5495
89.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22104
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23336
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22486
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
3416
271.0 IPS |
|
|
Object Detection (HP)
|
100% |
4689
372.0 IPS |
|
|
Object Detection (Q)
|
91% |
3993
319.1 IPS |
|
|
Face Detection (SP)
|
100% |
10991
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
14063
167.1 IPS |
|
|
Face Detection (Q)
|
100% |
10070
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18478
142.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20400
157.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17518
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
48892
62.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55842
71.8 IPS |
|
|
Style Transfer (Q)
|
96% |
52509
67.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9848
363.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10590
391.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8519
314.6 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
98% |
651
11.3 IPS |
