iPhone 17 Pro
Geekbench AI Score
5159
Single Precision Score
36195
Half Precision Score
49131
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 02:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
16214
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22230
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20248
328.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25638
415.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10700
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160303
187.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
298392
349.7 IPS |
|
|
Object Detection (SP)
|
100% |
2672
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
17504
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25141
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4680
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
41122
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
50320
597.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8454
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104504
805.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167340
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24656
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
260484
334.9 IPS |
|
|
Style Transfer (Q)
|
96% |
350545
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5569
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57020
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86876
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5974
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6156
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5340
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10989
189.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12143
209.9 IPS |
