iPhone 17
Geekbench AI Score
4665
Single Precision Score
7830
Half Precision Score
6228
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 08:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2191
407.5 IPS |
|
|
Image Classification (HP)
|
100% |
3521
654.7 IPS |
|
|
Image Classification (Q)
|
96% |
2394
447.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3316
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9470
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18330
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15453
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (HP)
|
97% |
3992
317.8 IPS |
|
|
Object Detection (Q)
|
94% |
2711
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7132
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
3994
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8214
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13877
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9709
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21714
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37386
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30812
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5367
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4916
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6520
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6461
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4337
74.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6933
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6967
120.4 IPS |
