iPhone17,2
Geekbench AI Score
4555
Single Precision Score
32937
Half Precision Score
45861
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Next_Tremity |
| Upload Date | October 31 2024 02:58 PM |
| Views | 10 |
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% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
15080
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
20100
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18194
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24101
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9118
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
155308
181.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293500
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
100% |
16198
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22480
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3600
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
41886
497.7 IPS |
|
|
Face Detection (Q)
|
100% |
57790
686.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7971
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96370
742.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161103
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24146
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245092
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302532
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50461
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86436
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4607
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4655
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9466
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11364
196.4 IPS |
