iPhone17,5
Geekbench AI Score
4155
Single Precision Score
4463
Half Precision Score
4325
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
920
171.2 IPS |
|
|
Image Classification (HP)
|
100% |
832
154.8 IPS |
|
|
Image Classification (Q)
|
96% |
889
166.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3273
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3209
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11309
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11263
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
2023
160.5 IPS |
|
|
Object Detection (Q)
|
92% |
1819
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
6336
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
7342
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
5985
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10122
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10381
80.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9707
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24321
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25563
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25565
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4534
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4083
150.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4079
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5877
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1101
19.0 IPS |
