iPhone 17
Geekbench AI Score
8000
Single Precision Score
15623
Half Precision Score
15527
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | January 01 2026 06:36 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3640
676.9 IPS |
|
|
Image Classification (HP)
|
100% |
7205
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6408
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4966
80.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8729
141.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9004
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18418
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50342
58.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
57927
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.4 IPS |
|
|
Object Detection (HP)
|
100% |
7391
586.2 IPS |
|
|
Object Detection (Q)
|
93% |
6771
540.2 IPS |
|
|
Face Detection (SP)
|
100% |
9143
108.6 IPS |
|
|
Face Detection (HP)
|
100% |
18967
225.4 IPS |
|
|
Face Detection (Q)
|
100% |
14547
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15740
121.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33732
259.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35065
273.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38600
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
90594
116.5 IPS |
|
|
Style Transfer (Q)
|
96% |
105983
136.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9249
341.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18659
689.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19461
718.6 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6366
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4527
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5328
91.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5375
92.9 IPS |
