iPhone17,2
Geekbench AI Score
4511
Single Precision Score
32749
Half Precision Score
45782
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 10:29 PM |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
15262
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20667
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18326
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24068
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8843
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154093
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293523
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
16428
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22142
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
41527
493.4 IPS |
|
|
Face Detection (Q)
|
100% |
58551
695.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7717
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95135
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160115
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23425
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245117
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301788
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5613
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49843
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82678
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4489
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4733
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9251
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11304
195.4 IPS |
