iPhone17,2
Geekbench AI Score
4166
Single Precision Score
7183
Half Precision Score
5731
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 05 2024 08:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.2 IPS |
|
|
Image Classification (Q)
|
96% |
2121
396.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2743
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3194
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7638
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15716
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13556
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (HP)
|
97% |
3551
282.7 IPS |
|
|
Object Detection (Q)
|
94% |
2512
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6753
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3856
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6849
52.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12579
97.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8708
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21111
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33331
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27578
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4910
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6456
238.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4526
167.1 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5838
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6807
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6769
117.0 IPS |
