iPhone17,5
Geekbench AI Score
3998
Single Precision Score
32891
Half Precision Score
46108
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | roberotto |
| Upload Date | October 12 2025 05:40 AM |
| Views | 6 |
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% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
15887
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
21196
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18169
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23745
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7208
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
130737
152.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
278507
326.4 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
16327
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22631
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
39916
474.3 IPS |
|
|
Face Detection (Q)
|
100% |
56457
670.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6902
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95075
732.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159105
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
15574
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
243870
313.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303960
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4321
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50031
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82755
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4962
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5239
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10468
180.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11567
199.9 IPS |
