iPhone17,5
Geekbench AI Score
4460
Single Precision Score
33756
Half Precision Score
44996
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 01:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
14428
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18191
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18104
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23688
384.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8879
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152654
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294824
345.6 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
15584
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21324
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41106
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
51182
608.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7926
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94531
728.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
150221
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
19982
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
243483
313.0 IPS |
|
|
Style Transfer (Q)
|
96% |
293895
379.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52829
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81417
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6280
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6287
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3946
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9851
169.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10858
187.6 IPS |
