iPhone17,5
Geekbench AI Score
4375
Single Precision Score
7364
Half Precision Score
5843
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 12:22 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2040
379.4 IPS |
|
|
Image Classification (HP)
|
100% |
3269
607.9 IPS |
|
|
Image Classification (Q)
|
96% |
2228
416.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3206
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8446
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
16601
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14018
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
97% |
3644
290.1 IPS |
|
|
Object Detection (Q)
|
94% |
2519
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6652
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3778
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7473
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13198
102.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8969
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19250
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34592
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28602
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5117
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6994
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4880
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3682
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6297
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6245
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3932
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6384
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6233
107.7 IPS |
