iPhone17,4
Geekbench AI Score
4040
Single Precision Score
4272
Half Precision Score
4251
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1103
205.2 IPS |
|
|
Image Classification (HP)
|
100% |
809
150.4 IPS |
|
|
Image Classification (Q)
|
97% |
1027
191.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2747
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3464
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3648
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13565
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13973
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13103
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1436
113.9 IPS |
|
|
Object Detection (HP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (Q)
|
91% |
1681
134.3 IPS |
|
|
Face Detection (SP)
|
100% |
6960
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
9082
107.9 IPS |
|
|
Face Detection (Q)
|
100% |
6457
76.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11955
92.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12829
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10252
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29259
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32682
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30026
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4311
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3364
124.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4045
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
98% |
499
8.63 IPS |
