iPhone 17 Pro
Geekbench AI Score
5091
Single Precision Score
36266
Half Precision Score
49622
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:29 AM |
| Views | 1 |
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% |
2333
433.8 IPS |
|
|
Image Classification (HP)
|
100% |
16182
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22330
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19891
322.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24912
403.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10181
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
156030
182.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
295673
346.5 IPS |
|
|
Object Detection (SP)
|
100% |
2623
208.1 IPS |
|
|
Object Detection (HP)
|
100% |
17351
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25137
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4547
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
41169
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
54303
645.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8372
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105009
809.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170152
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24164
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
256322
329.5 IPS |
|
|
Style Transfer (Q)
|
96% |
352132
454.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5431
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56904
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84720
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6388
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5006
86.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11109
191.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12436
214.9 IPS |
