iPhone 17 Pro
Geekbench AI Score
4814
Single Precision Score
36007
Half Precision Score
49721
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | January 28 2026 06:02 PM |
| Views | 4 |
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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
16993
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
22494
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19185
311.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23774
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8120
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
143558
167.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
276662
324.3 IPS |
|
|
Object Detection (SP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (HP)
|
100% |
17657
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25695
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
41133
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
58187
691.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8273
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104260
803.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166737
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23801
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
256324
329.5 IPS |
|
|
Style Transfer (Q)
|
96% |
349485
451.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5321
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55725
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86210
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3601
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6579
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6552
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5167
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11001
189.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12684
219.2 IPS |
