iPhone 17 Pro
Geekbench AI Score
5192
Single Precision Score
38445
Half Precision Score
52358
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Itzamna |
| Upload Date | March 26 2026 10:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2361
439.1 IPS |
|
|
Image Classification (HP)
|
100% |
16230
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22220
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20192
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24667
399.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8131
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
151795
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
283680
332.5 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
17818
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
25391
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4818
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
42686
507.2 IPS |
|
|
Face Detection (Q)
|
100% |
58901
699.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7729
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105134
810.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
176701
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
21251
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
260186
334.5 IPS |
|
|
Style Transfer (Q)
|
96% |
325557
420.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4802
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55534
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83979
3.10 KIPS |
|
|
Text Classification (SP)
|
99% |
6625
8.84 KIPS |
|
|
Text Classification (HP)
|
100% |
11098
14.8 KIPS |
|
|
Text Classification (Q)
|
93% |
11242
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5201
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11058
190.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12261
211.9 IPS |
