iPhone 17 Pro
Geekbench AI Score
5167
Single Precision Score
36643
Half Precision Score
48897
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 26 2026 11:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
16320
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21799
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20137
326.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25145
407.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10548
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
160066
186.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
298727
350.1 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
17687
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25042
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4587
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
41257
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
50965
605.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8629
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
108120
833.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164470
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
25241
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259639
333.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351956
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57846
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86918
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3315
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6399
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6104
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10944
188.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12175
210.4 IPS |
