iPhone 17 Pro
Geekbench AI Score
5153
Single Precision Score
36186
Half Precision Score
49538
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | mattpippen |
| Upload Date | December 29 2025 03:37 AM |
| Views | 3 |
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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
16268
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21886
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19911
322.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25340
410.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10359
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
160317
187.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
298972
350.4 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
17897
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25329
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
41331
491.1 IPS |
|
|
Face Detection (Q)
|
100% |
55486
659.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8593
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104422
804.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162350
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
25064
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258847
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350804
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56608
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89606
3.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6024
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6046
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5245
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10875
187.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12380
213.9 IPS |
