iPhone17,3
Geekbench AI Score
4265
Single Precision Score
33507
Half Precision Score
45668
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1909
355.1 IPS |
|
|
Image Classification (HP)
|
100% |
15527
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
19855
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18164
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23736
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8412
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
154945
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
295237
346.0 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
16317
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23056
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
41976
498.8 IPS |
|
|
Face Detection (Q)
|
100% |
56301
669.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7539
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
96111
740.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162282
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22414
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244958
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303493
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4951
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50369
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84565
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4785
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4428
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10506
181.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11848
204.8 IPS |
