iPhone 17 Pro
Geekbench AI Score
5145
Single Precision Score
35997
Half Precision Score
48729
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 19 2026 11:42 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2315
430.5 IPS |
|
|
Image Classification (HP)
|
100% |
16060
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21410
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19927
323.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25261
409.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10668
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159262
185.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
298350
349.7 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
17606
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25158
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4658
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
41184
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
51875
616.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105243
810.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166070
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24670
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259369
333.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351160
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57150
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83809
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5780
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5941
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10963
188.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12346
213.4 IPS |
