iPhone17,2
Geekbench AI Score
4092
Single Precision Score
31615
Half Precision Score
43760
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | aunali1 |
| Upload Date | October 22 2024 09:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1831
340.5 IPS |
|
|
Image Classification (HP)
|
100% |
15066
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
19918
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1674
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14685
238.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18222
295.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7769
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
144466
168.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288353
338.0 IPS |
|
|
Object Detection (SP)
|
100% |
2005
159.1 IPS |
|
|
Object Detection (HP)
|
100% |
15993
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22186
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
41209
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
56488
671.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7209
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93552
720.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160654
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21570
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245587
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
306146
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4822
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50200
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84219
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4857
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4845
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8455
145.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9783
169.1 IPS |
