iPhone 17 Pro
Geekbench AI Score
4951
Single Precision Score
36217
Half Precision Score
49885
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:53 AM |
| 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% |
2239
416.3 IPS |
|
|
Image Classification (HP)
|
100% |
16326
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22489
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19935
323.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24738
401.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9722
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
149386
174.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
285382
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2527
200.4 IPS |
|
|
Object Detection (HP)
|
100% |
18349
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
24865
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4132
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
41127
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
59276
704.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8090
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104017
801.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
173772
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
23424
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
251996
323.9 IPS |
|
|
Style Transfer (Q)
|
96% |
346836
447.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5295
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55293
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84467
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6457
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6320
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5333
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11308
194.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12677
219.1 IPS |
