iPhone 17 Pro
Geekbench AI Score
10032
Single Precision Score
18958
Half Precision Score
20492
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 03 2026 02:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
4329
805.1 IPS |
|
|
Image Classification (HP)
|
100% |
8867
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
9150
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6126
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9681
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10607
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20408
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54371
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
69420
81.4 IPS |
|
|
Object Detection (SP)
|
100% |
4457
353.6 IPS |
|
|
Object Detection (HP)
|
100% |
8701
690.1 IPS |
|
|
Object Detection (Q)
|
94% |
9649
769.4 IPS |
|
|
Face Detection (SP)
|
100% |
12305
146.2 IPS |
|
|
Face Detection (HP)
|
100% |
26483
314.7 IPS |
|
|
Face Detection (Q)
|
100% |
25603
304.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18151
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34177
263.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38613
301.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44535
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96955
124.6 IPS |
|
|
Style Transfer (Q)
|
96% |
123390
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10448
385.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19831
732.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22177
818.9 IPS |
|
|
Text Classification (SP)
|
100% |
6729
8.98 KIPS |
|
|
Text Classification (HP)
|
100% |
11187
14.9 KIPS |
|
|
Text Classification (Q)
|
93% |
11604
15.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
6125
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7588
130.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6401
110.6 IPS |
