iPhone17,2
Geekbench AI Score
5613
Single Precision Score
6657
Half Precision Score
5985
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:18 PM |
| Views | 43 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.02 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (HP)
|
100% |
2807
522.0 IPS |
|
|
Image Classification (Q)
|
97% |
2616
488.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4369
70.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4288
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15566
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16378
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15133
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
3136
248.8 IPS |
|
|
Object Detection (HP)
|
100% |
3417
271.0 IPS |
|
|
Object Detection (Q)
|
91% |
2634
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
7357
87.4 IPS |
|
|
Face Detection (HP)
|
100% |
10430
123.9 IPS |
|
|
Face Detection (Q)
|
100% |
7140
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13257
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14245
109.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11328
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32717
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37037
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36693
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7902
291.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8364
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6522
240.8 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5857
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5827
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1171
20.2 IPS |
