iPhone17,2
Geekbench AI Score
4309
Single Precision Score
33376
Half Precision Score
46355
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | techyogi |
| Upload Date | October 19 2024 09:04 AM |
| Views | 13 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (HP)
|
100% |
15631
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21565
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18366
297.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23972
388.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8210
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
146668
171.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
283164
331.9 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
16763
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23236
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
42199
501.4 IPS |
|
|
Face Detection (Q)
|
100% |
60021
713.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7036
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96254
741.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166456
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23004
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246776
317.2 IPS |
|
|
Style Transfer (Q)
|
96% |
306255
395.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52585
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83366
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4731
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4647
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9747
167.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11364
196.4 IPS |
