iPhone 16e iPhone17,5
Geekbench AI Score
3976
Single Precision Score
7152
Half Precision Score
5461
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 08 2025 01:03 AM |
| Views | 31 |
| Notes | iPhone 16e/8GB/512GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1882
350.0 IPS |
|
|
Image Classification (HP)
|
100% |
3237
601.9 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3226
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7941
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16185
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13627
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3618
288.1 IPS |
|
|
Object Detection (Q)
|
94% |
2425
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
6471
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
3422
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6329
48.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12739
98.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8746
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19695
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33695
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27375
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4795
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6578
242.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4483
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
6189
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6057
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5715
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4507
77.9 IPS |
