iPhone17,5
Geekbench AI Score
4190
Single Precision Score
6986
Half Precision Score
5590
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 01 2025 05:15 PM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
3278
609.6 IPS |
|
|
Image Classification (Q)
|
96% |
2226
415.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2642
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3027
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7929
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15846
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13453
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2177
172.7 IPS |
|
|
Object Detection (HP)
|
97% |
3567
284.0 IPS |
|
|
Object Detection (Q)
|
94% |
2446
195.0 IPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6224
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3614
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7170
55.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12584
97.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8655
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18673
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32987
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27345
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4864
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6775
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4655
171.9 IPS |
|
|
Text Classification (SP)
|
100% |
3619
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
5970
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5417
93.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5657
97.8 IPS |
