iPhone 17
Geekbench AI Score
4339
Single Precision Score
35017
Half Precision Score
48007
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | vinebeat |
| Upload Date | March 11 2026 12:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
16308
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22388
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18304
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22740
368.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7873
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
142276
166.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
273944
321.1 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
17299
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24415
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
40721
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
51391
610.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7852
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98593
759.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160153
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20526
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
243548
313.1 IPS |
|
|
Style Transfer (Q)
|
96% |
342683
442.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4887
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55163
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84312
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6447
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6459
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3972
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10852
186.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12434
214.9 IPS |
