iPhone 17 Pro
Geekbench AI Score
5162
Single Precision Score
38562
Half Precision Score
52914
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 24 2026 07:40 PM |
| Views | 12 |
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% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
16283
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22704
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19740
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24290
393.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8055
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
149809
174.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
278007
325.8 IPS |
|
|
Object Detection (SP)
|
100% |
2572
204.0 IPS |
|
|
Object Detection (HP)
|
100% |
17873
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
25769
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
42096
500.2 IPS |
|
|
Face Detection (Q)
|
100% |
58830
699.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7793
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105004
809.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
182141
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
20768
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
260797
335.3 IPS |
|
|
Style Transfer (Q)
|
96% |
325412
419.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57513
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86842
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
6748
9.01 KIPS |
|
|
Text Classification (HP)
|
99% |
11388
15.2 KIPS |
|
|
Text Classification (Q)
|
93% |
11490
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5145
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11191
192.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12519
216.3 IPS |
