iPhone17,5
Geekbench AI Score
4102
Single Precision Score
4526
Half Precision Score
4291
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | December 12 2025 09:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
875
162.7 IPS |
|
|
Image Classification (HP)
|
100% |
842
156.6 IPS |
|
|
Image Classification (Q)
|
96% |
808
151.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3269
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3240
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10653
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11835
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11585
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1990
157.8 IPS |
|
|
Object Detection (HP)
|
100% |
1890
149.9 IPS |
|
|
Object Detection (Q)
|
92% |
1907
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
6412
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
7376
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
6038
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9843
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10707
82.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9805
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23962
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26169
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25520
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3741
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6343
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6365
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1018
17.6 IPS |
