iPhone17,2
Geekbench AI Score
5748
Single Precision Score
6636
Half Precision Score
6086
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | luboznaiko |
| Upload Date | September 21 2024 06:37 PM |
| Views | 5 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2983
554.8 IPS |
|
|
Image Classification (HP)
|
100% |
2460
457.4 IPS |
|
|
Image Classification (Q)
|
97% |
2650
494.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3265
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4385
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4323
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15705
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16406
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15237
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3184
252.6 IPS |
|
|
Object Detection (HP)
|
100% |
3475
275.6 IPS |
|
|
Object Detection (Q)
|
91% |
2846
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
7570
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
10511
124.9 IPS |
|
|
Face Detection (Q)
|
100% |
7125
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13354
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14382
110.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11435
89.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32687
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39321
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35243
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8041
296.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8462
312.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6780
250.4 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5846
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5796
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
