iPhone17,2
Geekbench AI Score
4485
Single Precision Score
32793
Half Precision Score
45816
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 01 2024 10:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1978
367.8 IPS |
|
|
Image Classification (HP)
|
100% |
15251
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20577
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18215
295.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23995
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8728
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153462
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292400
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
16558
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22346
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
41539
493.6 IPS |
|
|
Face Detection (Q)
|
100% |
58398
693.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7703
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95048
732.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161938
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23569
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245638
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303092
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5622
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49807
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83209
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4502
6.01 KIPS |
|
|
Text Classification (Q)
|
93% |
4674
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9371
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11333
195.9 IPS |
