iPhone17,2
Geekbench AI Score
3004
Single Precision Score
24957
Half Precision Score
33580
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 05:33 AM |
| Views | 2 |
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 | 2.19 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
12597
2.34 KIPS |
|
|
Image Classification (Q)
|
97% |
15501
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13340
216.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19061
309.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4423
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
100182
116.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
173460
203.3 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.6 IPS |
|
|
Object Detection (HP)
|
100% |
12564
996.6 IPS |
|
|
Object Detection (Q)
|
91% |
15363
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
29303
348.2 IPS |
|
|
Face Detection (Q)
|
100% |
42184
501.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5316
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
69415
534.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107989
844.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14861
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
164815
211.9 IPS |
|
|
Style Transfer (Q)
|
96% |
208290
268.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3967
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37262
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57759
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2650
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8486
146.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10581
182.9 IPS |
