iPhone17,4
Geekbench AI Score
4217
Single Precision Score
32856
Half Precision Score
45853
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 13 2024 12:34 PM |
| Views | 42 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1889
351.3 IPS |
|
|
Image Classification (HP)
|
100% |
15578
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
22554
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14573
236.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18085
293.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8410
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
153779
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292646
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (HP)
|
100% |
16374
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22902
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
40544
481.8 IPS |
|
|
Face Detection (Q)
|
100% |
54450
647.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7267
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95401
735.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
163589
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22122
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245665
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303930
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50558
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87079
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5094
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5343
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10481
180.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11932
206.2 IPS |
