iPhone 17 Pro
Geekbench AI Score
5130
Single Precision Score
38064
Half Precision Score
53070
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 09:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
16079
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21569
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20165
326.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26181
424.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8151
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
140839
164.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293500
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
17773
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
26064
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4494
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
43187
513.2 IPS |
|
|
Face Detection (Q)
|
100% |
63812
758.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7746
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103948
800.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169602
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
20766
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
257572
331.1 IPS |
|
|
Style Transfer (Q)
|
96% |
322242
415.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4794
177.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55318
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83620
3.09 KIPS |
|
|
Text Classification (SP)
|
99% |
6631
8.85 KIPS |
|
|
Text Classification (HP)
|
100% |
11006
14.7 KIPS |
|
|
Text Classification (Q)
|
93% |
11263
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5197
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11176
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12490
215.8 IPS |
