iPhone17,2
Geekbench AI Score
5634
Single Precision Score
6697
Half Precision Score
5995
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | danbedford |
| Upload Date | November 05 2024 12:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
3018
561.3 IPS |
|
|
Image Classification (HP)
|
100% |
2838
527.7 IPS |
|
|
Image Classification (Q)
|
97% |
2877
537.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3264
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4368
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15510
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16359
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15335
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3150
249.9 IPS |
|
|
Object Detection (HP)
|
100% |
3453
273.9 IPS |
|
|
Object Detection (Q)
|
91% |
3102
247.9 IPS |
|
|
Face Detection (SP)
|
100% |
7305
86.8 IPS |
|
|
Face Detection (HP)
|
100% |
10585
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
7069
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13107
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14727
113.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11843
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32033
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38915
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34570
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7977
294.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8400
310.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6718
248.1 IPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5978
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
859
14.9 IPS |
