iPhone17,4
Geekbench AI Score
1889
Single Precision Score
14636
Half Precision Score
20309
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 10:05 PM |
| Views | 3 |
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% |
812
151.0 IPS |
|
|
Image Classification (HP)
|
100% |
7870
1.46 KIPS |
|
|
Image Classification (Q)
|
97% |
10618
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6620
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8244
133.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3961
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
62538
73.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
122787
143.9 IPS |
|
|
Object Detection (SP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (HP)
|
100% |
7480
593.3 IPS |
|
|
Object Detection (Q)
|
91% |
10570
844.5 IPS |
|
|
Face Detection (SP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
17489
207.8 IPS |
|
|
Face Detection (Q)
|
100% |
24154
287.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3539
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
41132
316.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
70862
554.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10384
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
112028
144.0 IPS |
|
|
Style Transfer (Q)
|
96% |
141423
182.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23872
881.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38152
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
2273
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5007
86.5 IPS |
