iPhone 17 Pro
Geekbench AI Score
5121
Single Precision Score
35714
Half Precision Score
48294
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 05:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2345
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
15802
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
20797
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19891
322.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25162
407.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9945
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152281
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
290146
340.1 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
100% |
17587
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
24136
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
40759
484.3 IPS |
|
|
Face Detection (Q)
|
100% |
54044
642.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8444
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104189
802.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162103
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24936
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
257629
331.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350135
451.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5641
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55643
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84118
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6188
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6187
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10648
183.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11797
203.9 IPS |
