iPhone17,5
Geekbench AI Score
4232
Single Precision Score
33546
Half Precision Score
45043
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:28 AM |
| Views | 1 |
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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
14781
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18771
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17929
290.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23647
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7989
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
145013
169.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294229
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
16006
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21323
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
40665
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
51825
615.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7269
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94396
727.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
149629
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
18316
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
243187
312.6 IPS |
|
|
Style Transfer (Q)
|
96% |
295784
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4799
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51571
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80517
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6264
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6167
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9731
167.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10840
187.3 IPS |
