iPhone 17 Pro
Geekbench AI Score
4985
Single Precision Score
36169
Half Precision Score
49467
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:41 PM |
| Views | 10 |
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% |
2283
424.5 IPS |
|
|
Image Classification (HP)
|
100% |
16452
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21283
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20089
325.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25627
415.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9960
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
150496
175.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
296444
347.5 IPS |
|
|
Object Detection (SP)
|
100% |
2545
201.8 IPS |
|
|
Object Detection (HP)
|
100% |
17852
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25641
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4297
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
41312
490.9 IPS |
|
|
Face Detection (Q)
|
100% |
56608
672.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8128
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104070
801.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164569
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
22995
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258509
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
345025
445.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5363
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55125
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84013
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6333
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6268
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5272
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11123
191.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12503
216.1 IPS |
