iPhone17,2
Geekbench AI Score
4370
Single Precision Score
7546
Half Precision Score
6028
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 04:24 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 | 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% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.0 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8428
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17268
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14701
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (HP)
|
97% |
3623
288.4 IPS |
|
|
Object Detection (Q)
|
94% |
2587
206.2 IPS |
|
|
Face Detection (SP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
7195
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7385
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13561
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9465
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22960
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35879
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29331
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5376
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4836
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6993
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6960
120.3 IPS |
