iPhone17,2
Geekbench AI Score
3833
Single Precision Score
6944
Half Precision Score
5563
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 10:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1768
328.8 IPS |
|
|
Image Classification (HP)
|
100% |
3215
597.8 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7169
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15053
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13070
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.5 IPS |
|
|
Object Detection (HP)
|
97% |
3440
273.9 IPS |
|
|
Object Detection (Q)
|
94% |
2379
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
6219
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3574
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6522
50.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12542
97.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8802
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20232
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33238
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27448
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6364
235.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4480
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6112
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6088
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5728
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5743
99.2 IPS |
