iPhone 17 Pro
Geekbench AI Score
4926
Single Precision Score
36025
Half Precision Score
49916
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 10:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2257
419.7 IPS |
|
|
Image Classification (HP)
|
100% |
16331
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22264
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19840
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24964
404.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9760
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
147776
172.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
274960
322.3 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
17787
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25910
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4181
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
40976
486.9 IPS |
|
|
Face Detection (Q)
|
100% |
59455
706.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8202
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103971
801.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170182
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23326
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
250323
321.8 IPS |
|
|
Style Transfer (Q)
|
96% |
348202
449.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57060
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83528
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6359
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6507
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5115
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11173
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12667
218.9 IPS |
