Mac16,13
Geekbench AI Score
4786
Single Precision Score
7894
Half Precision Score
6303
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | stefanichim |
| Upload Date | June 07 2025 10:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
3324
618.2 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3167
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3582
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9905
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19349
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16607
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4179
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
7447
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4406
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8569
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14582
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10203
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21481
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38583
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31831
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6110
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5048
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5259
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7374
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7129
123.2 IPS |
