iPhone17,5
Geekbench AI Score
4438
Single Precision Score
33547
Half Precision Score
44957
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Caliqo |
| Upload Date | October 08 2025 09:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
14777
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18646
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18043
292.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23644
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8641
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
150489
175.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
295211
346.0 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
15656
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21516
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
40005
475.3 IPS |
|
|
Face Detection (Q)
|
100% |
50616
601.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7677
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94341
726.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
150368
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
19858
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244741
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297194
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5258
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50739
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80009
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6241
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6217
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9826
169.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10705
185.0 IPS |
