iPhone17,5
Geekbench AI Score
4060
Single Precision Score
4426
Half Precision Score
4268
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 01:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
863
160.5 IPS |
|
|
Image Classification (HP)
|
100% |
825
153.4 IPS |
|
|
Image Classification (Q)
|
96% |
881
164.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3313
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3174
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11053
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11299
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11230
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
1988
157.7 IPS |
|
|
Object Detection (Q)
|
92% |
1794
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
6326
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
7239
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
5986
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10186
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10124
78.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9707
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24416
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25574
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25496
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4470
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3942
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5906
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1033
17.9 IPS |
