iPhone17,5
Geekbench AI Score
4303
Single Precision Score
7367
Half Precision Score
5852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 04:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
3234
601.5 IPS |
|
|
Image Classification (Q)
|
96% |
2207
412.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3242
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8455
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
17309
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14398
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3692
293.9 IPS |
|
|
Object Detection (Q)
|
94% |
2579
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6818
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3883
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7606
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13390
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9135
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17893
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35602
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28970
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4918
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7163
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4941
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5939
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5911
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5836
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5911
102.2 IPS |
