iPhone17,5
Geekbench AI Score
4125
Single Precision Score
4578
Half Precision Score
4207
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 15 2025 03:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
852
158.5 IPS |
|
|
Image Classification (HP)
|
100% |
901
167.5 IPS |
|
|
Image Classification (Q)
|
96% |
751
140.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3245
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3377
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3245
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10637
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11856
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11561
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2066
163.9 IPS |
|
|
Object Detection (HP)
|
100% |
2008
159.3 IPS |
|
|
Object Detection (Q)
|
92% |
1836
146.6 IPS |
|
|
Face Detection (SP)
|
100% |
6412
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
7384
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
5999
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9896
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10443
80.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9782
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23918
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26326
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26087
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3326
122.8 IPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6299
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6179
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1069
18.5 IPS |
