iPhone17,5
Geekbench AI Score
4011
Single Precision Score
7050
Half Precision Score
5494
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 15 2025 12:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1901
353.5 IPS |
|
|
Image Classification (HP)
|
100% |
3161
587.9 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3139
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7535
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
16020
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13362
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1927
152.9 IPS |
|
|
Object Detection (HP)
|
97% |
3516
279.9 IPS |
|
|
Object Detection (Q)
|
94% |
2429
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6478
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
3646
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6644
51.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12730
98.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8519
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20404
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33441
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26856
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4744
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6543
241.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4459
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6067
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5996
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5463
94.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5060
87.4 IPS |
