iPhone 17 Pro
Geekbench AI Score
5001
Single Precision Score
36273
Half Precision Score
49695
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 12:19 PM |
| Views | 5 |
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% |
2252
418.8 IPS |
|
|
Image Classification (HP)
|
100% |
16604
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
20868
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20343
329.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25857
419.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9990
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
150628
175.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
296232
347.2 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
17824
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25378
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4246
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
40740
484.1 IPS |
|
|
Face Detection (Q)
|
100% |
60069
713.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104218
802.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167072
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23372
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
257918
331.6 IPS |
|
|
Style Transfer (Q)
|
96% |
348574
449.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5409
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56565
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86508
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6290
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6257
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5233
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11162
192.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11960
206.7 IPS |
