iPhone17,5
Geekbench AI Score
4344
Single Precision Score
33119
Half Precision Score
46345
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
15013
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20886
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18195
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23771
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8401
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
149692
174.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293160
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2281
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
16358
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23097
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
40283
478.6 IPS |
|
|
Face Detection (Q)
|
100% |
56694
673.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7935
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
96196
741.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160813
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
18057
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245332
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304264
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5240
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51341
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85323
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4718
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4905
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10310
177.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11714
202.4 IPS |
