iPhone 17
Geekbench AI Score
8056
Single Precision Score
15674
Half Precision Score
15660
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 07:46 AM |
| Views | 1 |
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% |
3629
674.9 IPS |
|
|
Image Classification (HP)
|
100% |
7327
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6469
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5010
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8684
140.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9047
146.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18356
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49693
58.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58142
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
3939
312.4 IPS |
|
|
Object Detection (HP)
|
100% |
7476
593.0 IPS |
|
|
Object Detection (Q)
|
93% |
6772
540.3 IPS |
|
|
Face Detection (SP)
|
100% |
9494
112.8 IPS |
|
|
Face Detection (HP)
|
100% |
19454
231.2 IPS |
|
|
Face Detection (Q)
|
100% |
15108
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15912
122.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
33697
259.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35369
276.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38876
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
89727
115.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106211
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9234
341.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18335
677.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19345
714.3 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6378
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4589
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5462
94.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5497
95.0 IPS |
