iPhone17,5
Geekbench AI Score
3478
Single Precision Score
6042
Half Precision Score
4563
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.69 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1877
349.1 IPS |
|
|
Image Classification (HP)
|
100% |
3265
607.1 IPS |
|
|
Image Classification (Q)
|
96% |
2215
413.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2742
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3144
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7943
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15416
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10912
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2025
160.6 IPS |
|
|
Object Detection (HP)
|
97% |
3380
269.1 IPS |
|
|
Object Detection (Q)
|
94% |
1879
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
4495
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2868
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5035
38.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
8281
64.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5846
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12653
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22937
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17312
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2839
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5083
187.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3670
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
3772
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6361
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6269
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5041
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4109
71.0 IPS |
