iPhone 17 Pro
Geekbench AI Score
5180
Single Precision Score
38498
Half Precision Score
52255
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 02 2026 06:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
2308
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
16399
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22529
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19992
324.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24724
400.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7715
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
148130
172.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
280718
329.0 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.5 IPS |
|
|
Object Detection (HP)
|
100% |
17818
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
25363
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4741
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
42176
501.1 IPS |
|
|
Face Detection (Q)
|
100% |
59021
701.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7731
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105514
812.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
170740
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21155
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
256966
330.3 IPS |
|
|
Style Transfer (Q)
|
96% |
327182
422.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5014
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57424
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87081
3.22 KIPS |
|
|
Text Classification (SP)
|
99% |
6816
9.10 KIPS |
|
|
Text Classification (HP)
|
99% |
11174
14.9 KIPS |
|
|
Text Classification (Q)
|
92% |
11515
15.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11265
194.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11580
200.1 IPS |
