iPhone17,5
Geekbench AI Score
4014
Single Precision Score
4350
Half Precision Score
4135
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | June 10 2025 02:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
868
161.3 IPS |
|
|
Image Classification (HP)
|
100% |
764
142.1 IPS |
|
|
Image Classification (Q)
|
96% |
870
162.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3371
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3211
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10626
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11827
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10742
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1952
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (Q)
|
92% |
1832
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
6431
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
7351
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
5770
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9835
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9922
76.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9264
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22054
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20722
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22068
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4553
168.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4219
155.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5904
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1050
18.2 IPS |
