iPhone17,5
Geekbench AI Score
4004
Single Precision Score
7050
Half Precision Score
5547
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | May 13 2025 08:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1768
328.8 IPS |
|
|
Image Classification (HP)
|
100% |
3197
594.6 IPS |
|
|
Image Classification (Q)
|
96% |
2159
403.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3097
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7020
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
16296
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12849
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.1 IPS |
|
|
Object Detection (HP)
|
97% |
3495
278.2 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5886
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3680
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7316
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12789
98.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8817
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15712
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34306
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27467
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7000
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4571
168.8 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6037
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6035
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3864
66.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5554
96.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5522
95.4 IPS |
