iPhone17,2
Geekbench AI Score
4457
Single Precision Score
32338
Half Precision Score
44493
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | September 22 2024 12:32 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% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
15275
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20303
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14691
238.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18340
297.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8649
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153830
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
290279
340.2 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.7 IPS |
|
|
Object Detection (HP)
|
100% |
16180
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22542
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
40558
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
55646
661.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7652
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94772
730.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160892
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23247
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246187
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301818
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5560
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50193
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83336
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4657
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4879
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10126
174.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11358
196.3 IPS |
