iPhone17,2
Geekbench AI Score
4480
Single Precision Score
31980
Half Precision Score
44528
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | toygoon |
| Upload Date | October 11 2024 11:17 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% |
1996
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
15412
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21684
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14679
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18277
296.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8520
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
154526
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292057
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2109
167.3 IPS |
|
|
Object Detection (HP)
|
100% |
16250
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22482
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41114
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
54678
649.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7709
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95493
735.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161486
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23238
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246233
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302394
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50485
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85041
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3465
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4325
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4517
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9331
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11483
198.4 IPS |
