iPhone17,1
Geekbench AI Score
4444
Single Precision Score
32233
Half Precision Score
44913
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | GlitchHunter |
| Upload Date | September 30 2024 04:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
15225
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20885
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14717
238.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18372
297.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
148532
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291310
341.4 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.4 IPS |
|
|
Object Detection (HP)
|
100% |
16333
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22504
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
41205
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
54782
650.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7612
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94922
731.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165796
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23056
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245844
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304201
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49594
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84095
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5013
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5025
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3803
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9317
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11372
196.5 IPS |
