iPhone17,2
Geekbench AI Score
4544
Single Precision Score
32772
Half Precision Score
45122
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
14912
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
19502
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18118
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24033
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9045
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154734
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293604
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2146
170.2 IPS |
|
|
Object Detection (HP)
|
100% |
16110
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22518
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3633
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41495
493.1 IPS |
|
|
Face Detection (Q)
|
100% |
57899
688.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7848
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95283
734.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162038
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24292
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245141
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303124
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51394
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82383
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4569
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4306
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9323
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11192
193.4 IPS |
