iPhone 17
Geekbench AI Score
4537
Single Precision Score
35194
Half Precision Score
48228
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 02:42 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2179
405.2 IPS |
|
|
Image Classification (HP)
|
100% |
15765
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22516
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18734
303.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23509
381.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8250
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
145477
169.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
279155
327.2 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
17244
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24699
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
39764
472.5 IPS |
|
|
Face Detection (Q)
|
100% |
50359
598.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7968
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101465
781.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
163494
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
21475
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
247652
318.4 IPS |
|
|
Style Transfer (Q)
|
96% |
345045
445.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5132
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57480
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85315
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6416
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6373
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10679
184.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12077
208.7 IPS |
