iPhone17,5
Geekbench AI Score
3497
Single Precision Score
28802
Half Precision Score
38556
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 08 2025 05:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1618
300.9 IPS |
|
|
Image Classification (HP)
|
100% |
12740
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
16285
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15232
246.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19901
322.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7780
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
121926
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233094
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
13926
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17412
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
31931
379.4 IPS |
|
|
Face Detection (Q)
|
100% |
42972
510.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6703
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
83541
643.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
137915
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
18332
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204793
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
250524
323.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43211
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65277
2.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4712
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4703
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2112
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10720
184.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12110
209.3 IPS |
