iPhone17,5
Geekbench AI Score
3941
Single Precision Score
32468
Half Precision Score
45119
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | October 20 2025 01:43 AM |
| Views | 3 |
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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
14150
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
18635
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16241
263.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23553
381.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7266
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
125438
146.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
278815
326.8 IPS |
|
|
Object Detection (SP)
|
100% |
2093
166.0 IPS |
|
|
Object Detection (HP)
|
100% |
15971
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21227
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
40453
480.7 IPS |
|
|
Face Detection (Q)
|
100% |
54837
651.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6634
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93437
719.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
150081
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
17121
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
241677
310.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296626
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4167
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49869
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82159
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6266
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6310
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9909
170.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10635
183.8 IPS |
