iPhone 17 Pro
Geekbench AI Score
5072
Single Precision Score
36526
Half Precision Score
49473
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | advantis |
| Upload Date | February 08 2026 09:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2320
431.4 IPS |
|
|
Image Classification (HP)
|
100% |
16881
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
22335
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20200
327.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24906
403.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10122
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
155899
181.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
285722
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
17455
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25280
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4440
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
41025
487.5 IPS |
|
|
Face Detection (Q)
|
100% |
53809
639.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104917
808.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167877
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24239
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
259048
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351327
453.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5410
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57302
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86486
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6371
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6455
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5185
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11192
192.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12340
213.3 IPS |
