iPhone 17 Pro
Geekbench AI Score
4824
Single Precision Score
36019
Half Precision Score
49390
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | December 29 2025 06:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2304
428.5 IPS |
|
|
Image Classification (HP)
|
100% |
16586
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22259
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19380
314.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23499
380.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9154
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
143431
167.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
277063
324.7 IPS |
|
|
Object Detection (SP)
|
100% |
2377
188.5 IPS |
|
|
Object Detection (HP)
|
100% |
18019
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25916
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4128
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
40935
486.4 IPS |
|
|
Face Detection (Q)
|
100% |
57718
685.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8071
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103697
798.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
170829
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23088
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
252208
324.2 IPS |
|
|
Style Transfer (Q)
|
96% |
347748
448.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5189
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55497
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84809
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3542
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6584
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6433
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11311
194.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12295
212.5 IPS |
