iPhone 17 Pro
Geekbench AI Score
5129
Single Precision Score
36374
Half Precision Score
49714
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 01:17 PM |
| Views | 2 |
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% |
2329
433.2 IPS |
|
|
Image Classification (HP)
|
100% |
16418
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
21750
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20605
334.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25924
420.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10595
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159789
186.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
297526
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
17617
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25203
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4562
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
41275
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
56816
675.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8376
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104924
808.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167944
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24238
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258761
332.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350703
452.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5544
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57239
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87162
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6087
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5935
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5330
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10906
187.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12599
217.7 IPS |
