iPhone 17 Pro
Geekbench AI Score
9146
Single Precision Score
17131
Half Precision Score
17543
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 02:35 PM |
| Views | 9 |
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% |
4257
791.6 IPS |
|
|
Image Classification (HP)
|
100% |
8402
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7522
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6089
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9605
155.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10750
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20336
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53968
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59482
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4470
354.6 IPS |
|
|
Object Detection (HP)
|
100% |
8483
672.8 IPS |
|
|
Object Detection (Q)
|
92% |
8318
664.2 IPS |
|
|
Face Detection (SP)
|
100% |
12429
147.7 IPS |
|
|
Face Detection (HP)
|
100% |
26079
309.9 IPS |
|
|
Face Detection (Q)
|
100% |
19839
235.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18092
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35657
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38609
301.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44270
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94539
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119509
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18137
669.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21061
777.7 IPS |
|
|
Text Classification (SP)
|
100% |
3555
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6233
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4724
81.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5764
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5744
99.3 IPS |
