iPhone 17 Pro
Geekbench AI Score
10012
Single Precision Score
18949
Half Precision Score
20345
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 01:08 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4380
814.5 IPS |
|
|
Image Classification (HP)
|
100% |
8756
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
9090
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6111
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9634
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10583
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20307
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53966
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
68377
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
4493
356.4 IPS |
|
|
Object Detection (HP)
|
100% |
8695
689.7 IPS |
|
|
Object Detection (Q)
|
94% |
9641
768.7 IPS |
|
|
Face Detection (SP)
|
100% |
12453
148.0 IPS |
|
|
Face Detection (HP)
|
100% |
26683
317.1 IPS |
|
|
Face Detection (Q)
|
100% |
25366
301.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18001
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34451
265.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38646
301.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44226
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
97559
125.4 IPS |
|
|
Style Transfer (Q)
|
96% |
124386
160.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19721
728.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22174
818.8 IPS |
|
|
Text Classification (SP)
|
99% |
6565
8.76 KIPS |
|
|
Text Classification (HP)
|
100% |
11060
14.8 KIPS |
|
|
Text Classification (Q)
|
92% |
11052
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
6123
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7711
132.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6414
110.8 IPS |
