iPhone 17
Geekbench AI Score
8033
Single Precision Score
15733
Half Precision Score
15623
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | February 16 2026 10:03 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% |
3649
678.6 IPS |
|
|
Image Classification (HP)
|
100% |
7064
1.31 KIPS |
|
|
Image Classification (Q)
|
97% |
6313
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4982
80.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8675
140.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9042
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18430
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51077
59.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
58099
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
3930
311.7 IPS |
|
|
Object Detection (HP)
|
100% |
7406
587.4 IPS |
|
|
Object Detection (Q)
|
93% |
6744
538.1 IPS |
|
|
Face Detection (SP)
|
100% |
9313
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
19194
228.1 IPS |
|
|
Face Detection (Q)
|
100% |
14926
177.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15878
122.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33940
261.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
35108
274.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38773
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
91091
117.1 IPS |
|
|
Style Transfer (Q)
|
96% |
106126
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9294
343.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18569
685.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19862
733.4 IPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6700
8.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6496
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5430
93.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5401
93.3 IPS |
