iPhone17,5
Geekbench AI Score
4082
Single Precision Score
4409
Half Precision Score
4312
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | roberotto |
| Upload Date | October 12 2025 05:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
824
153.3 IPS |
|
|
Image Classification (HP)
|
100% |
860
159.9 IPS |
|
|
Image Classification (Q)
|
96% |
918
171.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3234
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3084
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3211
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11024
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11220
13.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11175
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2168
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (Q)
|
92% |
1882
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
6366
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
7340
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
5986
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10092
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10202
78.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9730
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24461
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25806
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25590
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3897
143.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3843
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5961
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5907
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1061
18.3 IPS |
