iPhone17,2
Geekbench AI Score
5817
Single Precision Score
6745
Half Precision Score
6147
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | AbarthJoe |
| Upload Date | September 21 2024 05:40 PM |
| Views | 4 |
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% |
3059
568.9 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.3 IPS |
|
|
Image Classification (Q)
|
97% |
2677
499.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3433
55.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4498
72.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4396
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15843
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16479
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15275
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3437
272.6 IPS |
|
|
Object Detection (HP)
|
100% |
3618
287.0 IPS |
|
|
Object Detection (Q)
|
91% |
2902
231.9 IPS |
|
|
Face Detection (SP)
|
100% |
7588
90.2 IPS |
|
|
Face Detection (HP)
|
100% |
10921
129.8 IPS |
|
|
Face Detection (Q)
|
100% |
7450
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13352
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15241
117.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11591
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33398
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39698
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35558
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8236
304.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8592
317.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6945
256.5 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5956
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1163
20.1 IPS |
