iPhone17,2
Geekbench AI Score
4589
Single Precision Score
32630
Half Precision Score
44873
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | adhame95 |
| Upload Date | September 29 2024 09:34 AM |
| Views | 10 |
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% |
1980
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
15171
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20275
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14697
238.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18311
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9064
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154554
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292871
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (HP)
|
100% |
16375
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22614
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41163
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
54829
651.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8011
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95550
736.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161879
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24411
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246337
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
306135
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50847
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84595
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5108
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5093
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9637
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11500
198.7 IPS |
