iPhone17,4
Geekbench AI Score
4296
Single Precision Score
7421
Half Precision Score
5909
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 04:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1933
359.5 IPS |
|
|
Image Classification (HP)
|
100% |
3223
599.3 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8592
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17791
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14864
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
97% |
3714
295.7 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6964
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3961
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7408
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13827
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9441
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22533
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36348
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29837
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5130
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6768
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4791
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5944
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5920
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5904
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5937
102.6 IPS |
