iPhone 17 Pro
Geekbench AI Score
4833
Single Precision Score
36250
Half Precision Score
49592
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 05 2026 10:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
16384
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
23423
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19250
312.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24296
393.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9529
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147141
171.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
282965
331.7 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
18312
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
24348
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4104
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
41041
487.7 IPS |
|
|
Face Detection (Q)
|
100% |
55581
660.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8157
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
102355
788.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
171317
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23008
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259117
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351793
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57117
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89501
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6518
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4273
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11378
196.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11952
206.5 IPS |
