iPhone17,2
Geekbench AI Score
4235
Single Precision Score
32539
Half Precision Score
46237
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1945
361.7 IPS |
|
|
Image Classification (HP)
|
100% |
15504
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21485
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18184
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23976
388.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7771
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
139836
163.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292656
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
1941
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
16435
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22782
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
41911
498.0 IPS |
|
|
Face Detection (Q)
|
100% |
59001
701.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7117
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95017
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160850
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21400
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245542
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303112
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49529
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86270
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4642
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4841
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9136
157.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10824
187.1 IPS |
