iPhone17,2
Geekbench AI Score
4213
Single Precision Score
32769
Half Precision Score
45674
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 05 2024 08:35 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1964
365.3 IPS |
|
|
Image Classification (HP)
|
100% |
15542
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20656
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18279
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24207
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7581
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
140084
163.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
283616
332.4 IPS |
|
|
Object Detection (SP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (HP)
|
100% |
16073
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22335
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
41216
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
58249
692.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7040
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95813
738.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159500
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20989
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244849
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304322
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4927
181.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50606
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84025
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4856
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4676
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9396
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11230
194.1 IPS |
