iPhone17,2
Geekbench AI Score
4415
Single Precision Score
32338
Half Precision Score
44820
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mmomega |
| Upload Date | September 21 2024 05:27 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1976
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
15340
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20495
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14663
237.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18294
296.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8405
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
153860
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291624
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
16443
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22762
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
40689
483.5 IPS |
|
|
Face Detection (Q)
|
100% |
55017
653.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7623
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96617
744.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163953
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23189
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246300
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
305564
394.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5404
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49745
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85307
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4933
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9312
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11333
195.8 IPS |
