iPhone17,2
Geekbench AI Score
4638
Single Precision Score
32908
Half Precision Score
45630
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:48 AM |
| Views | 3 |
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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
15210
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19115
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18313
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24078
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9478
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154373
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294607
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
16470
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22549
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
42022
499.3 IPS |
|
|
Face Detection (Q)
|
100% |
58676
697.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8103
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95522
735.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160225
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
25108
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245720
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
305943
394.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5751
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51436
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84275
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4367
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4630
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9495
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11405
197.1 IPS |
