iPhone17,5
Geekbench AI Score
4328
Single Precision Score
33068
Half Precision Score
45982
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
15442
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20595
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18164
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23832
386.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
148221
172.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292824
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
16348
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23120
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
40404
480.1 IPS |
|
|
Face Detection (Q)
|
100% |
56549
671.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7779
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95443
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162132
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
17785
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245416
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303680
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50240
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86015
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4633
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4617
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10444
179.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11502
198.8 IPS |
