iPhone17,4
Geekbench AI Score
4373
Single Precision Score
7479
Half Precision Score
5985
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 08:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,4 |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (HP)
|
100% |
3197
594.6 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2871
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3270
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9005
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18403
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15683
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2093
166.0 IPS |
|
|
Object Detection (HP)
|
97% |
3727
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2621
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6906
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
4045
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7607
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14115
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9812
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23454
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37651
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30152
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5446
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6844
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4849
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5844
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5930
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5920
102.3 IPS |
