iPhone17,5
Geekbench AI Score
4130
Single Precision Score
4439
Half Precision Score
4312
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | March 22 2025 08:15 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
802
149.1 IPS |
|
|
Image Classification (HP)
|
100% |
769
143.0 IPS |
|
|
Image Classification (Q)
|
96% |
854
159.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3350
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3189
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11019
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11385
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11122
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (Q)
|
92% |
1883
150.3 IPS |
|
|
Face Detection (SP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
7138
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
5983
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10074
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10503
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9837
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24376
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26185
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
25771
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4705
173.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4019
148.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3999
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5968
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6049
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1063
18.4 IPS |
