iPhone17,2
Geekbench AI Score
4400
Single Precision Score
32558
Half Precision Score
45147
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 18 2024 12:46 AM |
| Views | 2 |
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% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
15312
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
19721
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18251
295.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24102
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8314
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
153039
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291890
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2122
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
16209
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22116
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
41917
498.1 IPS |
|
|
Face Detection (Q)
|
100% |
58081
690.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7600
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95255
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159223
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
23115
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245164
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301350
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5134
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50026
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83684
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4280
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4351
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9213
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11300
195.3 IPS |
