iPhone 17 Pro
Geekbench AI Score
9122
Single Precision Score
17170
Half Precision Score
17811
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:58 PM |
| Views | 3 |
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% |
4258
791.8 IPS |
|
|
Image Classification (HP)
|
100% |
8407
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7728
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6077
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9581
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10548
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20280
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53857
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67830
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
4450
353.0 IPS |
|
|
Object Detection (HP)
|
100% |
8651
686.2 IPS |
|
|
Object Detection (Q)
|
92% |
8536
681.6 IPS |
|
|
Face Detection (SP)
|
100% |
12441
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
25970
308.6 IPS |
|
|
Face Detection (Q)
|
100% |
19323
229.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18087
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33507
258.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37132
289.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43874
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95191
122.4 IPS |
|
|
Style Transfer (Q)
|
96% |
122330
157.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10400
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19171
707.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21427
791.2 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6450
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6268
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4730
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5795
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5777
99.8 IPS |
