iPhone 17 Pro
Geekbench AI Score
5186
Single Precision Score
38508
Half Precision Score
52659
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 31 2026 02:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2365
439.8 IPS |
|
|
Image Classification (HP)
|
100% |
16168
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
23035
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19817
321.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24405
395.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8228
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
152915
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
285952
335.2 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
100% |
17465
1.39 KIPS |
|
|
Object Detection (Q)
|
89% |
25288
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
42155
500.9 IPS |
|
|
Face Detection (Q)
|
100% |
56664
673.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7550
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104703
806.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
178427
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
21102
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
260288
334.6 IPS |
|
|
Style Transfer (Q)
|
96% |
325109
419.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56542
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86928
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
6729
8.98 KIPS |
|
|
Text Classification (HP)
|
99% |
11501
15.4 KIPS |
|
|
Text Classification (Q)
|
93% |
11306
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11216
193.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12486
215.8 IPS |
