iPhone17,2
Geekbench AI Score
4608
Single Precision Score
32632
Half Precision Score
45010
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 03 2024 12:18 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
15409
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
18666
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18208
295.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24074
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9389
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154986
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294309
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.1 IPS |
|
|
Object Detection (HP)
|
100% |
16273
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22366
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
41961
498.6 IPS |
|
|
Face Detection (Q)
|
100% |
59790
710.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8056
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95060
732.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160308
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
25014
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245085
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304949
393.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5750
212.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49727
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84182
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4220
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4191
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9432
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11188
193.3 IPS |
