iPhone 17
Geekbench AI Score
2975
Single Precision Score
27276
Half Precision Score
37193
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 07:43 AM |
| Views | 1 |
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% |
2197
408.6 IPS |
|
|
Image Classification (HP)
|
100% |
15868
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
22679
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18761
304.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23242
376.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5944
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
129023
150.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
237298
278.1 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
13082
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
20783
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
24979
296.8 IPS |
|
|
Face Detection (Q)
|
100% |
38371
455.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4556
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61065
470.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107076
837.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10556
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202580
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
289974
374.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44277
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41001
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4383
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4630
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1971
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7567
130.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8617
148.9 IPS |
