Mac16,12
Geekbench AI Score
4856
Single Precision Score
7882
Half Precision Score
6354
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Siltant |
| Upload Date | April 10 2025 08:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
3300
613.7 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3127
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3581
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19458
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16668
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.6 IPS |
|
|
Object Detection (Q)
|
94% |
2697
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4277
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7321
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4409
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8619
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14640
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10250
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21814
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38398
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31750
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6141
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7323
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4366
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7273
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7237
125.1 IPS |
