iPhone17,5
Geekbench AI Score
4395
Single Precision Score
7314
Half Precision Score
5820
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 07:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2061
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
3267
607.6 IPS |
|
|
Image Classification (Q)
|
96% |
2252
420.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3128
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8610
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16841
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13965
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
97% |
3662
291.6 IPS |
|
|
Object Detection (Q)
|
94% |
2548
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6614
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3714
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7562
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12957
100.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9061
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19365
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33822
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28197
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5096
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6967
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4780
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6380
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6263
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3956
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6226
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6264
108.3 IPS |
