iPhone17,2
Geekbench AI Score
4453
Single Precision Score
32278
Half Precision Score
44837
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 22 2024 04:46 AM |
| Views | 4 |
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% |
2003
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
15360
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21282
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14680
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18251
295.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8460
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
154853
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291705
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2100
166.6 IPS |
|
|
Object Detection (HP)
|
100% |
16305
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22698
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
40859
485.5 IPS |
|
|
Face Detection (Q)
|
100% |
55201
655.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7702
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95222
733.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160600
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23149
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245755
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302663
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50586
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84216
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4971
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9248
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11368
196.4 IPS |
