iPhone 17 Pro
Geekbench AI Score
9093
Single Precision Score
16971
Half Precision Score
17499
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
4235
787.6 IPS |
|
|
Image Classification (HP)
|
100% |
8125
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7444
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6050
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9539
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10543
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20223
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53705
62.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
58696
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8142
649.5 IPS |
|
|
Face Detection (SP)
|
100% |
11929
141.7 IPS |
|
|
Face Detection (HP)
|
100% |
23112
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17966
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17849
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35556
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38612
301.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43374
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
95603
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119665
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10403
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19317
713.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22477
830.0 IPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6426
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6041
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5987
103.5 IPS |
