iPhone17,2
Geekbench AI Score
1972
Single Precision Score
3349
Half Precision Score
2626
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 05:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (Q)
|
96% |
917
171.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
876
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1397
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4110
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
7991
9.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
6829
8.00 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.4 IPS |
|
|
Object Detection (HP)
|
97% |
1631
129.8 IPS |
|
|
Object Detection (Q)
|
94% |
1131
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1688
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3565
27.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
6214
48.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4269
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9922
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15890
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12923
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2919
107.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2068
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2398
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3403
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3425
59.2 IPS |
