iPhone17,2
Geekbench AI Score
4506
Single Precision Score
32031
Half Precision Score
44117
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | alexxha |
| Upload Date | September 21 2024 08:56 PM |
| Views | 10 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
15271
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19972
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14668
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18284
296.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8823
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154552
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292573
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2109
167.3 IPS |
|
|
Object Detection (HP)
|
100% |
16187
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22485
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
40879
485.7 IPS |
|
|
Face Detection (Q)
|
100% |
55440
658.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7865
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94934
731.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160907
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23987
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246842
317.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300542
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50646
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86324
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4356
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4406
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9601
165.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11403
197.1 IPS |
