iPhone17,2
Geekbench AI Score
5658
Single Precision Score
6631
Half Precision Score
5861
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 22 2024 04:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2983
554.8 IPS |
|
|
Image Classification (HP)
|
100% |
2720
505.8 IPS |
|
|
Image Classification (Q)
|
97% |
2606
486.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4311
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4263
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15427
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16365
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15052
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
3437
272.6 IPS |
|
|
Object Detection (Q)
|
91% |
2689
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
7507
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
10434
124.0 IPS |
|
|
Face Detection (Q)
|
100% |
7169
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13034
100.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14282
110.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11352
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32297
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38883
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35020
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7941
293.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8272
305.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6711
247.8 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
