iPhone17,2
Geekbench AI Score
4445
Single Precision Score
7599
Half Precision Score
6101
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:19 PM |
| Views | 2 |
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 | 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.0 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2816
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8535
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17595
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14791
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.5 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7387
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4160
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7553
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13869
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9650
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23271
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36542
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29969
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5295
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6655
245.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5912
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5821
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6875
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6992
120.8 IPS |
