iPhone17,2
Geekbench AI Score
5669
Single Precision Score
6661
Half Precision Score
5954
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | g8mb1t |
| Upload Date | September 23 2024 10:27 PM |
| Views | 16 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2912
541.5 IPS |
|
|
Image Classification (HP)
|
100% |
3071
571.1 IPS |
|
|
Image Classification (Q)
|
97% |
2606
486.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4336
70.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4279
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15442
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16456
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15042
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
3124
247.8 IPS |
|
|
Object Detection (HP)
|
100% |
3421
271.4 IPS |
|
|
Object Detection (Q)
|
91% |
2713
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
7213
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
10446
124.1 IPS |
|
|
Face Detection (Q)
|
100% |
7178
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13107
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14250
109.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11689
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32314
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39081
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34281
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7964
294.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8417
310.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6703
247.5 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5926
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5896
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1084
18.7 IPS |
