iPhone 17 Pro
Geekbench AI Score
5287
Single Precision Score
38731
Half Precision Score
52860
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | mkrish3 |
| Upload Date | March 13 2026 05:45 PM |
| Views | 10 |
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% |
2399
446.1 IPS |
|
|
Image Classification (HP)
|
100% |
16384
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22571
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20181
327.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25948
420.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8484
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
153802
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
295765
346.7 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
17978
1.43 KIPS |
|
|
Object Detection (Q)
|
89% |
25578
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4919
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
43128
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
58520
695.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7969
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105278
811.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
181009
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
21386
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
260516
334.9 IPS |
|
|
Style Transfer (Q)
|
96% |
326743
421.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5097
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58193
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86281
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
6387
8.53 KIPS |
|
|
Text Classification (HP)
|
100% |
10911
14.6 KIPS |
|
|
Text Classification (Q)
|
92% |
11196
15.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11064
190.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11498
198.7 IPS |
