iPhone 17 Pro
Geekbench AI Score
9360
Single Precision Score
17691
Half Precision Score
19133
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 02 2026 05:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4336
806.4 IPS |
|
|
Image Classification (HP)
|
100% |
8707
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
8376
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6095
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9653
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10480
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20342
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54034
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
68665
80.5 IPS |
|
|
Object Detection (SP)
|
100% |
4468
354.4 IPS |
|
|
Object Detection (HP)
|
100% |
8545
677.8 IPS |
|
|
Object Detection (Q)
|
94% |
9635
768.3 IPS |
|
|
Face Detection (SP)
|
100% |
12231
145.3 IPS |
|
|
Face Detection (HP)
|
100% |
26400
313.7 IPS |
|
|
Face Detection (Q)
|
100% |
25274
300.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18128
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33624
259.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
37854
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44684
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96467
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
123315
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18328
676.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21870
807.6 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6450
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7665
132.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6805
117.6 IPS |
