iPhone 16e iPhone17,5
Geekbench AI Score
4264
Single Precision Score
7272
Half Precision Score
5798
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | christippett |
| Upload Date | October 23 2025 06:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1988
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
3201
595.3 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3180
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8319
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
16729
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14323
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3662
291.5 IPS |
|
|
Object Detection (Q)
|
94% |
2550
203.3 IPS |
|
|
Face Detection (SP)
|
100% |
3478
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6734
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3779
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7567
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13343
103.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9088
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17766
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34729
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28551
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4930
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7092
261.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4953
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5918
102.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5928
102.4 IPS |
