iPhone 17 Pro
Geekbench AI Score
5114
Single Precision Score
38085
Half Precision Score
52351
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 01:10 AM |
| Views | 8 |
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% |
2299
427.5 IPS |
|
|
Image Classification (HP)
|
100% |
15954
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
22337
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19996
324.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24293
393.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8091
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
146463
170.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
274664
321.9 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
17653
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
26078
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
43443
516.2 IPS |
|
|
Face Detection (Q)
|
100% |
62856
746.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7608
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103140
794.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
172760
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
21076
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
250017
321.4 IPS |
|
|
Style Transfer (Q)
|
96% |
322117
415.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55357
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83180
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
6582
8.79 KIPS |
|
|
Text Classification (HP)
|
100% |
11101
14.8 KIPS |
|
|
Text Classification (Q)
|
92% |
11080
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5273
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11307
194.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12341
213.3 IPS |
