iPhone 17 Pro
Geekbench AI Score
5232
Single Precision Score
38898
Half Precision Score
53757
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 10 2026 03:24 AM |
| Views | 10 |
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% |
2376
441.8 IPS |
|
|
Image Classification (HP)
|
100% |
16418
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
23647
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19993
324.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24419
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7949
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
151622
176.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
283701
332.5 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
17987
1.43 KIPS |
|
|
Object Detection (Q)
|
89% |
26046
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
42066
499.8 IPS |
|
|
Face Detection (Q)
|
100% |
61223
727.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7797
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105106
809.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179188
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
21631
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
261135
335.7 IPS |
|
|
Style Transfer (Q)
|
96% |
326447
421.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4949
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56062
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86514
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
6916
9.23 KIPS |
|
|
Text Classification (HP)
|
100% |
12162
16.2 KIPS |
|
|
Text Classification (Q)
|
93% |
12372
16.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5154
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11255
193.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12324
213.0 IPS |
