iPhone17,5
Geekbench AI Score
4163
Single Precision Score
7191
Half Precision Score
5670
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 02:21 PM |
| Views | 1 |
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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
3194
593.9 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3183
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7990
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
16201
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13648
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (HP)
|
97% |
3623
288.4 IPS |
|
|
Object Detection (Q)
|
94% |
2480
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6564
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3699
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7339
56.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
12912
99.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8535
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16951
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34425
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27617
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4582
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6918
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6013
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5911
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5942
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5902
102.0 IPS |
