iPhone17,5
Geekbench AI Score
4106
Single Precision Score
32776
Half Precision Score
45201
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 19 2025 08:26 PM |
| Views | 1 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1926
358.2 IPS |
|
|
Image Classification (HP)
|
100% |
15368
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
19699
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18169
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23673
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7488
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
144319
168.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292206
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
16433
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22411
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
40071
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
56440
670.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7420
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95463
735.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159171
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
17196
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245932
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
305043
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49867
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82442
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4492
6.00 KIPS |
|
|
Text Classification (Q)
|
93% |
4524
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10253
176.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11407
197.1 IPS |
