iPhone17,2
Geekbench AI Score
3072
Single Precision Score
5323
Half Precision Score
4196
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 02 2024 08:13 AM |
| Views | 7 |
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 | 2.68 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
2232
415.1 IPS |
|
|
Image Classification (Q)
|
96% |
1531
286.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2243
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4319
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
11602
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9751
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2667
212.3 IPS |
|
|
Object Detection (Q)
|
94% |
1825
145.4 IPS |
|
|
Face Detection (SP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5205
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
2771
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5045
38.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
10035
77.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6621
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14728
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25996
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20761
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4139
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3480
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4592
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4648
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4548
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4498
77.7 IPS |
