iPhone 17 Pro
Geekbench AI Score
9996
Single Precision Score
18757
Half Precision Score
20156
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 17 2026 04:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4399
818.0 IPS |
|
|
Image Classification (HP)
|
100% |
8619
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
8825
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6119
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9631
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10588
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20406
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54230
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
68744
80.6 IPS |
|
|
Object Detection (SP)
|
100% |
4463
354.0 IPS |
|
|
Object Detection (HP)
|
100% |
8503
674.5 IPS |
|
|
Object Detection (Q)
|
94% |
9574
763.4 IPS |
|
|
Face Detection (SP)
|
100% |
12192
144.9 IPS |
|
|
Face Detection (HP)
|
100% |
26215
311.5 IPS |
|
|
Face Detection (Q)
|
100% |
25162
299.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18107
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33599
258.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38869
303.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44509
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
97130
124.9 IPS |
|
|
Style Transfer (Q)
|
96% |
124334
160.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19991
738.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21543
795.5 IPS |
|
|
Text Classification (SP)
|
99% |
6637
8.86 KIPS |
|
|
Text Classification (HP)
|
100% |
11207
15.0 KIPS |
|
|
Text Classification (Q)
|
92% |
11138
15.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5988
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7349
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6170
106.6 IPS |
