iPhone17,2
Geekbench AI Score
4368
Single Precision Score
7548
Half Precision Score
5976
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | September 21 2024 02:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.2 IPS |
|
|
Image Classification (Q)
|
96% |
2252
420.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3237
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8388
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17170
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14833
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (HP)
|
97% |
3731
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2599
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
7261
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
3973
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7354
56.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13519
104.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9286
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22875
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35953
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29041
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6849
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4802
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5936
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3695
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6823
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6773
117.0 IPS |
