iPhone17,5
Geekbench AI Score
4042
Single Precision Score
6722
Half Precision Score
5350
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | July 04 2025 06:54 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1943
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
3287
611.2 IPS |
|
|
Image Classification (Q)
|
96% |
2214
413.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2885
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7755
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15134
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12855
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2056
163.1 IPS |
|
|
Object Detection (HP)
|
97% |
3432
273.2 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6235
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3532
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6910
53.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12040
93.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8344
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18340
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33040
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26360
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4731
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6677
246.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4434
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6039
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4917
85.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4900
84.7 IPS |
