iPhone17,2
Geekbench AI Score
4181
Single Precision Score
31996
Half Precision Score
44734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | g8mb1t |
| Upload Date | September 23 2024 10:24 PM |
| Views | 18 |
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% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
15570
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
22214
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14695
238.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18299
296.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7780
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
142261
166.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
275980
323.5 IPS |
|
|
Object Detection (SP)
|
100% |
1986
157.5 IPS |
|
|
Object Detection (HP)
|
100% |
16584
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22420
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
40804
484.8 IPS |
|
|
Face Detection (Q)
|
100% |
55178
655.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6855
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95071
732.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161692
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21091
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
243400
312.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302998
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50134
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84557
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4606
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4836
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9556
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11543
199.5 IPS |
