iPhone17,5
Geekbench AI Score
4304
Single Precision Score
7297
Half Precision Score
5778
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 10:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3280
610.0 IPS |
|
|
Image Classification (Q)
|
96% |
2231
416.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1718
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3165
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8097
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
16547
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13862
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2155
171.0 IPS |
|
|
Object Detection (HP)
|
97% |
3667
292.0 IPS |
|
|
Object Detection (Q)
|
94% |
2526
201.3 IPS |
|
|
Face Detection (SP)
|
100% |
3460
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6616
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3770
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7550
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12984
100.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8837
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19149
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34153
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27152
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6959
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4908
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6274
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6220
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6138
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6080
105.1 IPS |
