iPhone17,2
Geekbench AI Score
4561
Single Precision Score
32241
Half Precision Score
44613
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | toygoon |
| Upload Date | September 27 2024 10:22 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
15228
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21244
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14728
238.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18240
295.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8921
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153903
179.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292732
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
100% |
16362
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22779
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
40972
486.8 IPS |
|
|
Face Detection (Q)
|
100% |
54985
653.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7991
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95111
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160597
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24392
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246364
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304377
392.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5788
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50198
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86260
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4761
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4593
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9368
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11352
196.2 IPS |
