iPhone17,4
Geekbench AI Score
4014
Single Precision Score
4387
Half Precision Score
4295
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 09:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
882
164.0 IPS |
|
|
Image Classification (HP)
|
100% |
802
149.1 IPS |
|
|
Image Classification (Q)
|
97% |
1027
191.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3669
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3549
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13577
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14011
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13069
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.5 IPS |
|
|
Object Detection (HP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (Q)
|
91% |
1794
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
6910
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
9015
107.1 IPS |
|
|
Face Detection (Q)
|
100% |
6093
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11372
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12038
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9670
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29564
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32662
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30108
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4676
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4421
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5834
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (Q)
|
98% |
548
9.47 IPS |
