iPhone 17
Geekbench AI Score
8075
Single Precision Score
15611
Half Precision Score
15586
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | December 29 2025 03:08 PM |
| Views | 5 |
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% |
3712
690.3 IPS |
|
|
Image Classification (HP)
|
100% |
7189
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6588
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5066
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8768
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9066
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18471
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
49772
58.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57968
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3933
312.0 IPS |
|
|
Object Detection (HP)
|
100% |
7425
588.9 IPS |
|
|
Object Detection (Q)
|
93% |
6798
542.4 IPS |
|
|
Face Detection (SP)
|
100% |
9460
112.4 IPS |
|
|
Face Detection (HP)
|
100% |
19457
231.2 IPS |
|
|
Face Detection (Q)
|
100% |
14724
175.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15833
122.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33749
260.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
35371
276.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38906
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
90518
116.4 IPS |
|
|
Style Transfer (Q)
|
96% |
106242
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9272
342.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18430
680.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19877
734.0 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6270
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6209
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5375
92.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5265
91.0 IPS |
