iPhone17,2
Geekbench AI Score
4400
Single Precision Score
32264
Half Precision Score
44626
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | frsnPWR |
| Upload Date | September 21 2024 06:55 PM |
| Views | 8 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
15343
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20378
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14634
237.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18304
296.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8276
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
150722
175.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290959
341.0 IPS |
|
|
Object Detection (SP)
|
100% |
2068
164.1 IPS |
|
|
Object Detection (HP)
|
100% |
16238
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22782
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
40950
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
55728
662.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7511
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95002
731.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160287
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22792
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245649
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301496
389.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50282
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83371
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4921
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4979
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9409
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11335
195.9 IPS |
