iPhone17,4
Geekbench AI Score
4230
Single Precision Score
32235
Half Precision Score
44574
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,4 |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1873
348.3 IPS |
|
|
Image Classification (HP)
|
100% |
15427
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21261
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14517
235.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18114
293.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8007
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
152092
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293280
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2043
162.1 IPS |
|
|
Object Detection (HP)
|
100% |
16329
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22943
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
40553
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
54155
643.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7425
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95427
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162642
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22390
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246179
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303622
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5305
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50130
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85005
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4639
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4450
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9832
169.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11811
204.1 IPS |
