iPhone17,2
Geekbench AI Score
5706
Single Precision Score
6707
Half Precision Score
5908
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | October 08 2024 04:38 AM |
| Views | 2 |
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% |
2916
542.2 IPS |
|
|
Image Classification (HP)
|
100% |
2752
511.9 IPS |
|
|
Image Classification (Q)
|
97% |
2833
528.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4415
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15585
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16385
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15573
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3231
256.3 IPS |
|
|
Object Detection (HP)
|
100% |
3381
268.1 IPS |
|
|
Object Detection (Q)
|
91% |
2767
221.1 IPS |
|
|
Face Detection (SP)
|
100% |
7697
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
10721
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
7203
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13126
101.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14216
109.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11916
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32771
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38890
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36440
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8036
296.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8447
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6742
248.9 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5995
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
761
13.2 IPS |
