iPhone17,5
Geekbench AI Score
4374
Single Precision Score
7331
Half Precision Score
5837
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.2 IPS |
|
|
Image Classification (Q)
|
96% |
2232
416.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3145
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8538
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
16664
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14037
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
97% |
3669
292.1 IPS |
|
|
Object Detection (Q)
|
94% |
2548
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6669
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3786
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7605
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13145
101.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9092
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19455
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33628
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28233
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5134
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4886
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6329
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6175
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3872
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6285
108.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6238
107.8 IPS |
