iPhone 17 Pro
Geekbench AI Score
5314
Single Precision Score
38606
Half Precision Score
52812
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 27 2026 06:40 AM |
| Views | 13 |
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% |
2422
450.4 IPS |
|
|
Image Classification (HP)
|
100% |
15770
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22100
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20314
329.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25039
405.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8389
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
152246
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293636
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.3 IPS |
|
|
Object Detection (HP)
|
100% |
17892
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
25567
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4886
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
42293
502.5 IPS |
|
|
Face Detection (Q)
|
100% |
59529
707.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7965
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105560
813.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
179565
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
22055
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259597
333.7 IPS |
|
|
Style Transfer (Q)
|
96% |
325184
419.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5183
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56511
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86204
3.18 KIPS |
|
|
Text Classification (SP)
|
99% |
6733
8.99 KIPS |
|
|
Text Classification (HP)
|
99% |
11802
15.8 KIPS |
|
|
Text Classification (Q)
|
92% |
11510
15.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5217
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10904
187.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11781
203.6 IPS |
