iPhone 17 Pro
Geekbench AI Score
5155
Single Precision Score
8399
Half Precision Score
6653
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 02:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3681
684.6 IPS |
|
|
Image Classification (Q)
|
96% |
2466
460.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3039
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10741
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19304
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16382
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.6 IPS |
|
|
Object Detection (HP)
|
97% |
4093
325.9 IPS |
|
|
Object Detection (Q)
|
94% |
2861
228.1 IPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
8565
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4494
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8370
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14224
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10067
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24318
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37312
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31368
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5413
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6962
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4853
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
6725
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6640
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5099
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9295
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9350
161.6 IPS |
