iPhone17,2
Geekbench AI Score
4487
Single Precision Score
32985
Half Precision Score
46659
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 01:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
15102
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
22631
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18275
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23995
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8436
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
153085
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293120
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
100% |
16279
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22526
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41353
491.4 IPS |
|
|
Face Detection (Q)
|
100% |
58260
692.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7753
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95494
735.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161840
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23699
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245459
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
304233
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5595
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50706
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83847
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4591
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5001
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9824
169.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11341
196.0 IPS |
