iPhone17,2
Geekbench AI Score
4512
Single Precision Score
32647
Half Precision Score
45287
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Kobby01 |
| Upload Date | October 17 2024 10:26 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
15281
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20398
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14668
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18307
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8857
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154253
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291903
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2130
168.9 IPS |
|
|
Object Detection (HP)
|
100% |
16353
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22303
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41676
495.2 IPS |
|
|
Face Detection (Q)
|
100% |
58055
689.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7841
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95423
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162216
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23767
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245777
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301350
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52305
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84931
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5079
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3684
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9371
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11403
197.1 IPS |
