iPhone 17 Pro
Geekbench AI Score
9378
Single Precision Score
17720
Half Precision Score
18991
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 12:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4269
793.8 IPS |
|
|
Image Classification (HP)
|
100% |
8539
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
8779
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6092
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9643
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10568
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20288
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53982
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
68338
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
4511
357.8 IPS |
|
|
Object Detection (HP)
|
100% |
8670
687.7 IPS |
|
|
Object Detection (Q)
|
94% |
9523
759.3 IPS |
|
|
Face Detection (SP)
|
100% |
12478
148.3 IPS |
|
|
Face Detection (HP)
|
100% |
26195
311.3 IPS |
|
|
Face Detection (Q)
|
100% |
25355
301.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18110
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33509
258.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38327
299.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44396
57.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96427
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
122534
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10365
382.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18455
681.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20957
773.8 IPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6541
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6080
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7752
133.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6382
110.3 IPS |
