iPhone 17 Pro
Geekbench AI Score
5351
Single Precision Score
39013
Half Precision Score
54233
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 09:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2382
443.0 IPS |
|
|
Image Classification (HP)
|
100% |
16391
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22368
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20230
327.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26073
422.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8362
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
158119
184.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
299232
350.7 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
17879
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
25468
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
5018
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
44524
529.0 IPS |
|
|
Face Detection (Q)
|
100% |
68744
816.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8108
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106682
821.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
183247
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
22725
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
260707
335.1 IPS |
|
|
Style Transfer (Q)
|
96% |
326073
420.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5167
190.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56912
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87727
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
6647
8.87 KIPS |
|
|
Text Classification (HP)
|
99% |
11140
14.9 KIPS |
|
|
Text Classification (Q)
|
93% |
11268
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5273
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11099
191.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12198
210.8 IPS |
