iPhone 17 Pro
Geekbench AI Score
5087
Single Precision Score
36077
Half Precision Score
49536
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | January 01 2026 08:50 AM |
| Views | 11 |
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% |
2333
433.8 IPS |
|
|
Image Classification (HP)
|
100% |
16612
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22338
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20148
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25914
420.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9948
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153285
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
294917
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
100% |
17458
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25096
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
41636
494.7 IPS |
|
|
Face Detection (Q)
|
100% |
49500
588.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8326
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105125
809.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
173735
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24217
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258738
332.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350050
451.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5387
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55940
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87922
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5350
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10931
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12233
211.4 IPS |
