iPhone 17 Pro
Geekbench AI Score
5282
Single Precision Score
38457
Half Precision Score
52673
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 26 2026 05:39 AM |
| Views | 8 |
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% |
2375
441.7 IPS |
|
|
Image Classification (HP)
|
100% |
15975
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
22292
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20225
327.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26140
423.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8501
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
153354
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
286808
336.2 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
17906
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
24995
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4739
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
43089
512.0 IPS |
|
|
Face Detection (Q)
|
100% |
56863
675.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7891
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
103948
800.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
183305
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
22352
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259648
333.8 IPS |
|
|
Style Transfer (Q)
|
96% |
327044
422.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5047
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56566
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85139
3.14 KIPS |
|
|
Text Classification (SP)
|
99% |
6446
8.60 KIPS |
|
|
Text Classification (HP)
|
99% |
11010
14.7 KIPS |
|
|
Text Classification (Q)
|
92% |
11309
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
5325
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11011
189.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11991
207.2 IPS |
