iPhone17,2
Geekbench AI Score
4213
Single Precision Score
32907
Half Precision Score
45730
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1920
357.0 IPS |
|
|
Image Classification (HP)
|
100% |
15447
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20843
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18283
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23809
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8018
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
148677
173.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293227
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (HP)
|
100% |
16515
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22603
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
41724
495.8 IPS |
|
|
Face Detection (Q)
|
100% |
57565
684.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7384
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94905
731.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161161
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21207
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
243668
313.2 IPS |
|
|
Style Transfer (Q)
|
96% |
305634
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4923
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50101
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85449
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4532
6.05 KIPS |
|
|
Text Classification (Q)
|
93% |
4511
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9803
168.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11128
192.3 IPS |
