iPhone 17 Pro
Geekbench AI Score
5163
Single Precision Score
38199
Half Precision Score
52794
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 03 2026 02:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2398
445.9 IPS |
|
|
Image Classification (HP)
|
100% |
16124
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22956
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20061
325.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24743
401.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8132
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
139610
162.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
283144
331.9 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
100% |
18013
1.43 KIPS |
|
|
Object Detection (Q)
|
89% |
26223
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
42950
510.3 IPS |
|
|
Face Detection (Q)
|
100% |
59238
703.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7646
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102702
791.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
174502
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
19893
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
257824
331.4 IPS |
|
|
Style Transfer (Q)
|
96% |
325932
420.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5044
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56561
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85287
3.15 KIPS |
|
|
Text Classification (SP)
|
99% |
6705
8.95 KIPS |
|
|
Text Classification (HP)
|
100% |
11340
15.1 KIPS |
|
|
Text Classification (Q)
|
93% |
11499
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5064
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11149
192.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12073
208.6 IPS |
