iPhone17,5
Geekbench AI Score
4243
Single Precision Score
7262
Half Precision Score
5712
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | March 22 2025 08:11 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
3228
600.2 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3223
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8484
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
16756
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12837
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3589
285.7 IPS |
|
|
Object Detection (Q)
|
94% |
2519
200.7 IPS |
|
|
Face Detection (SP)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6629
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3808
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7376
56.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13157
101.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9058
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17808
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34964
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28649
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7096
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4653
171.8 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5937
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5947
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5997
103.6 IPS |
