iPhone 17
Geekbench AI Score
8054
Single Precision Score
15661
Half Precision Score
15569
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 27 2026 03:07 PM |
| 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% |
3643
677.4 IPS |
|
|
Image Classification (HP)
|
100% |
7186
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6394
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5022
81.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8704
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9024
146.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18247
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
50445
58.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57881
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
3935
312.1 IPS |
|
|
Object Detection (HP)
|
100% |
7412
587.9 IPS |
|
|
Object Detection (Q)
|
93% |
6771
540.1 IPS |
|
|
Face Detection (SP)
|
100% |
9428
112.0 IPS |
|
|
Face Detection (HP)
|
100% |
19297
229.3 IPS |
|
|
Face Detection (Q)
|
100% |
14729
175.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15866
122.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34086
262.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35415
276.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39010
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
90936
116.9 IPS |
|
|
Style Transfer (Q)
|
96% |
106440
137.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9324
344.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18381
678.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19598
723.7 IPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6476
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5333
91.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5305
91.7 IPS |
