iPhone 17 Pro
Geekbench AI Score
5174
Single Precision Score
36322
Half Precision Score
50193
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | March 08 2026 05:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
16172
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21672
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19882
322.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25627
415.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10771
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160207
186.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
298255
349.6 IPS |
|
|
Object Detection (SP)
|
100% |
2705
214.5 IPS |
|
|
Object Detection (HP)
|
100% |
17520
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25288
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
40908
486.1 IPS |
|
|
Face Detection (Q)
|
100% |
56699
673.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8549
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107623
829.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176829
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25076
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
260769
335.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352740
455.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56913
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87763
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6209
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6479
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10918
188.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12049
208.2 IPS |
