iPhone17,5
Geekbench AI Score
4168
Single Precision Score
34070
Half Precision Score
45635
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 15 2025 02:52 PM |
| Views | 12 |
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% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
14586
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18729
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17984
291.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23190
375.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7546
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
136067
158.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
270434
317.0 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
100% |
16077
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
21550
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
39862
473.6 IPS |
|
|
Face Detection (Q)
|
100% |
50036
594.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7218
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94208
725.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
151578
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
18111
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
242617
311.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296162
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4551
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52265
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80477
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6578
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6281
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11724
201.9 IPS |
|
|
Machine Translation (Q)
|
98% |
13633
235.6 IPS |
