iPhone17,2
Geekbench AI Score
4547
Single Precision Score
32462
Half Precision Score
44766
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | October 09 2024 03:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
15164
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20066
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14696
238.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18329
297.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9025
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154248
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292689
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
16485
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22642
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41436
492.4 IPS |
|
|
Face Detection (Q)
|
100% |
58289
692.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7923
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95176
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161441
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23941
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246427
316.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301371
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50970
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85600
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4860
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4787
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9528
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11413
197.2 IPS |
