iPhone17,2
Geekbench AI Score
4499
Single Precision Score
32122
Half Precision Score
44210
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RGPphotog |
| Upload Date | September 21 2024 08:10 PM |
| Views | 13 |
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% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
15685
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
20138
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14652
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18357
297.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8871
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153823
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292322
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2063
163.7 IPS |
|
|
Object Detection (HP)
|
100% |
16336
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22515
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
41058
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
55164
655.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7779
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95338
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160767
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23998
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246592
317.0 IPS |
|
|
Style Transfer (Q)
|
96% |
306133
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50597
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86001
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4384
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4382
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9459
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11460
198.1 IPS |
