iPhone 17 Pro
Geekbench AI Score
5199
Single Precision Score
36702
Half Precision Score
49815
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 13 2026 05:21 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2361
439.1 IPS |
|
|
Image Classification (HP)
|
100% |
16196
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22364
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19934
323.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24670
399.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10163
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
157973
184.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298103
349.4 IPS |
|
|
Object Detection (SP)
|
100% |
2685
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
17486
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24955
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
42054
499.7 IPS |
|
|
Face Detection (Q)
|
100% |
53069
630.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8473
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105308
811.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177156
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
24612
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258460
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352259
454.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5594
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57937
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87463
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6627
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6604
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5308
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11316
194.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11987
207.2 IPS |
