iPhone 17 Pro
Geekbench AI Score
10031
Single Precision Score
19014
Half Precision Score
20380
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 27 2026 06:35 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4306
800.7 IPS |
|
|
Image Classification (HP)
|
100% |
8634
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8912
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6101
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9677
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10582
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20448
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54308
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
69996
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
4496
356.6 IPS |
|
|
Object Detection (HP)
|
100% |
8694
689.6 IPS |
|
|
Object Detection (Q)
|
94% |
9642
768.8 IPS |
|
|
Face Detection (SP)
|
100% |
12361
146.9 IPS |
|
|
Face Detection (HP)
|
100% |
26530
315.2 IPS |
|
|
Face Detection (Q)
|
100% |
25367
301.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18117
139.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
33975
261.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38720
302.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44704
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
97101
124.8 IPS |
|
|
Style Transfer (Q)
|
96% |
125352
161.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10476
386.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19322
713.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21912
809.1 IPS |
|
|
Text Classification (SP)
|
100% |
6671
8.90 KIPS |
|
|
Text Classification (HP)
|
99% |
11964
16.0 KIPS |
|
|
Text Classification (Q)
|
93% |
11322
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
6110
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7741
133.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6359
109.9 IPS |
