iPhone17,5
Geekbench AI Score
4281
Single Precision Score
7349
Half Precision Score
5831
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 02:38 AM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2040
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
3235
601.5 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2790
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3235
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8423
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17125
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14181
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.2 IPS |
|
|
Object Detection (HP)
|
97% |
3632
289.2 IPS |
|
|
Object Detection (Q)
|
94% |
2523
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6834
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3842
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7596
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13574
104.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9143
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17678
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35510
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28914
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7107
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5023
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5917
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5907
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3851
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5914
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5914
102.2 IPS |
