Mac16,11
Geekbench AI Score
5741
Single Precision Score
8753
Half Precision Score
6714
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MattKir |
| Upload Date | November 19 2024 08:58 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
3022
562.1 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3498
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3913
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18891
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30188
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23696
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7701
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4600
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14234
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10090
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34922
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
46977
60.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38018
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7040
259.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9487
350.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4506
166.4 IPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5054
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4996
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8748
151.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8737
151.0 IPS |
