Mac16,11
Geekbench AI Score
5675
Single Precision Score
8766
Half Precision Score
6870
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | wave |
| Upload Date | November 14 2024 03:11 PM |
| Views | 3 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
2982
554.5 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3430
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3931
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18836
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31940
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24126
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
4510
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7807
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
4593
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14014
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10056
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35075
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48853
62.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38251
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6855
253.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9378
346.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5731
211.6 IPS |
|
|
Text Classification (SP)
|
100% |
2849
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5040
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4999
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5553
95.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8572
148.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8530
147.4 IPS |
