iPhone17,2
Geekbench AI Score
5656
Single Precision Score
6535
Half Precision Score
5882
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 17 2024 10:52 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3072
571.4 IPS |
|
|
Image Classification (HP)
|
100% |
2286
425.2 IPS |
|
|
Image Classification (Q)
|
97% |
2022
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3292
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4311
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4369
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15644
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16414
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15477
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3135
248.6 IPS |
|
|
Object Detection (HP)
|
100% |
3687
292.5 IPS |
|
|
Object Detection (Q)
|
91% |
2835
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
7275
86.4 IPS |
|
|
Face Detection (HP)
|
100% |
10486
124.6 IPS |
|
|
Face Detection (Q)
|
100% |
6950
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13176
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14250
109.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12580
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32831
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39320
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36987
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8229
303.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8628
318.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6960
257.0 IPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5814
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5838
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
974
16.8 IPS |
