iPhone17,2
Geekbench AI Score
2806
Single Precision Score
4909
Half Precision Score
3884
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 2.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1186
220.5 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.7 IPS |
|
|
Image Classification (Q)
|
96% |
1362
254.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2089
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3855
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
10800
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8986
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
97% |
2419
192.6 IPS |
|
|
Object Detection (Q)
|
94% |
1709
136.2 IPS |
|
|
Face Detection (SP)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4970
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
2578
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
9379
72.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6271
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13378
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24016
30.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19293
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4553
168.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3221
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4170
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4167
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2674
46.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4284
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4274
73.9 IPS |
