iPhone17,5
Geekbench AI Score
4227
Single Precision Score
7309
Half Precision Score
5849
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | March 16 2025 02:14 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1913
355.7 IPS |
|
|
Image Classification (HP)
|
100% |
3199
594.9 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3259
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8164
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
17043
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14450
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2030
161.0 IPS |
|
|
Object Detection (HP)
|
97% |
3668
292.0 IPS |
|
|
Object Detection (Q)
|
94% |
2595
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6834
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3915
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7274
56.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13554
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9372
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22071
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35629
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29281
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5223
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6727
248.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4744
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5928
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5812
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5847
101.0 IPS |
