iPhone 17 Pro
Geekbench AI Score
4886
Single Precision Score
35982
Half Precision Score
49441
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 02:00 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% |
2256
419.6 IPS |
|
|
Image Classification (HP)
|
100% |
16402
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22551
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19922
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24553
398.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9529
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148249
173.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
276735
324.4 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
18181
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25549
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
40720
483.8 IPS |
|
|
Face Detection (Q)
|
100% |
58905
699.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8161
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103512
797.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167724
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23260
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
251647
323.5 IPS |
|
|
Style Transfer (Q)
|
96% |
343962
443.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55010
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83822
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6296
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6380
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4841
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11244
193.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12268
212.0 IPS |
