iPhone 17
Geekbench AI Score
4578
Single Precision Score
35550
Half Precision Score
48562
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 05 2026 10:08 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2174
404.3 IPS |
|
|
Image Classification (HP)
|
100% |
16226
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22439
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18877
306.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23296
377.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8483
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
153760
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
289122
338.9 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
17219
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24725
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
39678
471.5 IPS |
|
|
Face Detection (Q)
|
100% |
51556
612.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8043
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101057
778.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162137
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21287
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245544
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
347064
447.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5075
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57069
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85387
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6476
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6555
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4321
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10927
188.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12023
207.8 IPS |
