iPhone17,2
Geekbench AI Score
4475
Single Precision Score
32883
Half Precision Score
46271
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 21 2024 04:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1974
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
15501
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20464
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18272
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24107
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8544
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
153704
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293552
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2117
168.0 IPS |
|
|
Object Detection (HP)
|
100% |
16545
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22490
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
41898
497.8 IPS |
|
|
Face Detection (Q)
|
100% |
58390
693.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7728
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95163
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162948
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23689
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245212
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302533
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5643
208.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49977
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84341
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4418
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5021
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9507
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11334
195.9 IPS |
