iPhone17,2
Geekbench AI Score
4460
Single Precision Score
32410
Half Precision Score
44779
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 05:11 PM |
| Views | 1 |
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% |
1980
368.2 IPS |
|
|
Image Classification (HP)
|
100% |
15502
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20802
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14681
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18232
295.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8544
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
153625
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
290874
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2110
167.4 IPS |
|
|
Object Detection (HP)
|
100% |
16435
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22445
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
41167
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
56390
670.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7689
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97190
748.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161717
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23160
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246542
316.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303248
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50335
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85704
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4735
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4828
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9468
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11443
197.7 IPS |
