iPhone 17 Pro
Geekbench AI Score
5078
Single Precision Score
36143
Half Precision Score
50071
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 09:46 PM |
| 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% |
2323
432.0 IPS |
|
|
Image Classification (HP)
|
100% |
16201
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22494
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19790
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25079
406.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9785
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153041
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293142
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
100% |
17401
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25701
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4447
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
40828
485.1 IPS |
|
|
Face Detection (Q)
|
100% |
54862
651.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8390
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105188
810.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
175485
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
24522
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258731
332.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350779
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5453
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56690
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86878
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6439
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5216
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10983
189.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12338
213.2 IPS |
