iPhone 17 Pro
Geekbench AI Score
5109
Single Precision Score
36493
Half Precision Score
52674
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:33 AM |
| Views | 4 |
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% |
2355
438.0 IPS |
|
|
Image Classification (HP)
|
100% |
10607
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
22663
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19857
321.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24448
396.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8109
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
146011
170.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
276811
324.4 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
17633
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
26148
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4457
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
43193
513.2 IPS |
|
|
Face Detection (Q)
|
100% |
63275
751.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7617
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103203
795.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
172601
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
21228
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
252654
324.8 IPS |
|
|
Style Transfer (Q)
|
96% |
321249
414.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54878
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83536
3.08 KIPS |
|
|
Text Classification (SP)
|
99% |
6514
8.69 KIPS |
|
|
Text Classification (HP)
|
100% |
11183
14.9 KIPS |
|
|
Text Classification (Q)
|
92% |
11120
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11177
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12581
217.4 IPS |
