iPhone 17
Geekbench AI Score
4591
Single Precision Score
35456
Half Precision Score
47930
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | phoenixwrites |
| Upload Date | January 25 2026 09:42 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2167
402.9 IPS |
|
|
Image Classification (HP)
|
100% |
16247
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22204
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18832
305.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23883
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8626
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
156556
182.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
299084
350.5 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
17093
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24005
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41020
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
49495
588.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8133
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101301
780.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163897
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
21972
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
251450
323.2 IPS |
|
|
Style Transfer (Q)
|
96% |
345830
446.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5339
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56784
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85917
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10899
187.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11894
205.5 IPS |
