iPhone17,5
Geekbench AI Score
4009
Single Precision Score
32633
Half Precision Score
45740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 20 2025 12:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1923
357.6 IPS |
|
|
Image Classification (HP)
|
100% |
15258
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20793
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18159
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23802
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7300
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
138347
161.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
290587
340.6 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
16230
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22611
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
40018
475.5 IPS |
|
|
Face Detection (Q)
|
100% |
56084
666.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6724
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95544
736.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160733
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19852
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244866
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304887
393.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49933
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82715
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4918
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4966
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3489
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9575
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10919
188.7 IPS |
