iPhone17,5
Geekbench AI Score
3725
Single Precision Score
3969
Half Precision Score
3711
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 17 2025 06:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
860
159.9 IPS |
|
|
Image Classification (HP)
|
100% |
790
147.0 IPS |
|
|
Image Classification (Q)
|
97% |
1077
201.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2977
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3016
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11079
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11425
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10875
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2068
164.1 IPS |
|
|
Object Detection (HP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (Q)
|
91% |
1802
144.0 IPS |
|
|
Face Detection (SP)
|
100% |
6470
76.9 IPS |
|
|
Face Detection (HP)
|
100% |
7808
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
4707
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10057
77.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10448
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8384
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24352
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26516
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24984
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4564
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4156
153.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3334
123.1 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5960
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5959
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (Q)
|
98% |
398
6.88 IPS |
