iPhone17,5
Geekbench AI Score
4134
Single Precision Score
6983
Half Precision Score
5591
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 01:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
3228
600.3 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2748
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3087
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7942
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16151
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13484
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2108
167.2 IPS |
|
|
Object Detection (HP)
|
97% |
3582
285.2 IPS |
|
|
Object Detection (Q)
|
94% |
2440
194.5 IPS |
|
|
Face Detection (SP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6634
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3695
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7320
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12859
99.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8777
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16990
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34228
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27468
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6940
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4725
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5913
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5939
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4486
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5421
93.7 IPS |
