iPhone17,2
Geekbench AI Score
4374
Single Precision Score
32310
Half Precision Score
45063
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:15 PM |
| Views | 168 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.02 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
15349
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20407
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14700
238.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18288
296.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8283
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
149636
174.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
285427
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.1 IPS |
|
|
Object Detection (HP)
|
100% |
16802
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23269
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
40743
484.1 IPS |
|
|
Face Detection (Q)
|
100% |
57080
678.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7425
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95986
739.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162143
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22688
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245996
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
305649
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5394
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50345
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86660
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4925
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3699
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9526
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11541
199.4 IPS |
