iPhone17,2
Geekbench AI Score
5681
Single Precision Score
6570
Half Precision Score
5892
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 02 2024 11:28 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3020
561.6 IPS |
|
|
Image Classification (HP)
|
100% |
2786
518.0 IPS |
|
|
Image Classification (Q)
|
97% |
2917
544.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4405
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4382
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15651
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16421
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15466
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3131
248.3 IPS |
|
|
Object Detection (HP)
|
100% |
3081
244.4 IPS |
|
|
Object Detection (Q)
|
91% |
2826
225.8 IPS |
|
|
Face Detection (SP)
|
100% |
7439
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
10111
120.1 IPS |
|
|
Face Detection (Q)
|
100% |
7054
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13269
102.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14253
109.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11953
93.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32541
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35690
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36034
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7999
295.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8356
308.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6785
250.5 IPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5810
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
755
13.1 IPS |
