iPhone17,2
Geekbench AI Score
4647
Single Precision Score
32887
Half Precision Score
44568
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 04:09 PM |
| Views | 11 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
15202
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19312
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14655
237.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18240
295.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9673
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
155178
181.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293602
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
16061
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22186
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
40732
484.0 IPS |
|
|
Face Detection (Q)
|
100% |
53876
640.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8167
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95455
735.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160978
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24923
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246802
317.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300423
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5867
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50955
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88219
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5153
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4914
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10579
182.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11931
206.2 IPS |
