iPhone17,2
Geekbench AI Score
4427
Single Precision Score
32418
Half Precision Score
45324
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Prosto_Rav |
| Upload Date | October 09 2024 07:19 AM |
| Views | 6 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
15655
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21652
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14638
237.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18274
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8484
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
150182
175.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291365
341.5 IPS |
|
|
Object Detection (SP)
|
100% |
2110
167.4 IPS |
|
|
Object Detection (HP)
|
100% |
16397
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22770
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
41563
493.9 IPS |
|
|
Face Detection (Q)
|
100% |
58436
694.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7582
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95621
736.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162400
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23178
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246281
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301749
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50639
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85152
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4918
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4955
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9321
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11536
199.4 IPS |
