iPhone17,3
Geekbench AI Score
4252
Single Precision Score
33402
Half Precision Score
46415
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 08:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1930
358.9 IPS |
|
|
Image Classification (HP)
|
100% |
15306
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20939
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18179
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23774
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8169
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
154119
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294482
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2030
161.0 IPS |
|
|
Object Detection (HP)
|
100% |
16387
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22575
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
41630
494.7 IPS |
|
|
Face Detection (Q)
|
100% |
56549
671.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7531
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95169
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162158
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21634
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245014
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304385
392.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50296
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84474
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4850
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5083
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10389
179.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11701
202.2 IPS |
