Mac16,11
Geekbench AI Score
5759
Single Precision Score
8889
Half Precision Score
7411
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | drjuso |
| Upload Date | April 17 2025 02:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.2 IPS |
|
|
Image Classification (Q)
|
99% |
3013
561.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2477
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3514
57.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3451
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18800
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31157
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
23601
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.8 IPS |
|
|
Object Detection (HP)
|
97% |
3820
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
4511
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7870
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4624
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8698
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14093
108.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
14144
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35623
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51564
66.3 IPS |
|
|
Style Transfer (Q)
|
100% |
50919
65.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9553
352.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5103
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5208
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5244
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5792
99.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8556
147.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8612
148.8 IPS |
