iPhone 17 Pro
Geekbench AI Score
10034
Single Precision Score
19202
Half Precision Score
20538
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 10 2026 03:14 AM |
| Views | 9 |
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% |
4303
800.3 IPS |
|
|
Image Classification (HP)
|
100% |
8787
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
9013
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6102
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9673
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10626
172.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20393
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54180
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
69097
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
4461
353.9 IPS |
|
|
Object Detection (HP)
|
100% |
8622
683.9 IPS |
|
|
Object Detection (Q)
|
94% |
9645
769.1 IPS |
|
|
Face Detection (SP)
|
100% |
12097
143.7 IPS |
|
|
Face Detection (HP)
|
100% |
26307
312.6 IPS |
|
|
Face Detection (Q)
|
100% |
25329
301.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18001
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33864
260.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37674
294.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43745
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96752
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
123209
159.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10419
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20854
770.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22440
828.6 IPS |
|
|
Text Classification (SP)
|
99% |
7172
9.57 KIPS |
|
|
Text Classification (HP)
|
99% |
12619
16.8 KIPS |
|
|
Text Classification (Q)
|
92% |
12386
16.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
6087
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7570
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6403
110.7 IPS |
