Mac16,11
Geekbench AI Score
5762
Single Precision Score
8903
Half Precision Score
6847
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | TurbulantCalm |
| Upload Date | November 17 2024 11:36 PM |
| Views | 2 |
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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3022
562.1 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3662
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18836
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30212
35.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23672
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
97% |
3872
308.3 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7906
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4586
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8788
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13927
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9966
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35151
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50467
64.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38072
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7034
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9507
351.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5241
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5155
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5103
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5808
100.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8876
153.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8900
153.8 IPS |
