iPhone 17 Pro
Geekbench AI Score
5104
Single Precision Score
38175
Half Precision Score
52803
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 10:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2314
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
15920
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
22491
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19810
321.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24920
404.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8051
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
147399
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
274879
322.2 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
17879
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
26060
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
43193
513.2 IPS |
|
|
Face Detection (Q)
|
100% |
63260
751.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7668
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103960
801.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
173340
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
21107
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
252484
324.6 IPS |
|
|
Style Transfer (Q)
|
96% |
321702
415.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4869
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56251
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83904
3.10 KIPS |
|
|
Text Classification (SP)
|
99% |
6754
9.02 KIPS |
|
|
Text Classification (HP)
|
99% |
11044
14.7 KIPS |
|
|
Text Classification (Q)
|
92% |
11337
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4985
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11231
193.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12507
216.1 IPS |
