iPhone17,4
Geekbench AI Score
2560
Single Precision Score
3026
Half Precision Score
2854
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 10:08 PM |
| Views | 2 |
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% |
961
178.8 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.3 IPS |
|
|
Image Classification (Q)
|
97% |
832
155.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2718
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6571
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
7359
8.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
7001
8.21 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (HP)
|
100% |
1279
101.4 IPS |
|
|
Object Detection (Q)
|
91% |
1285
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
3765
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3317
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6513
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7153
55.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
5996
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14150
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24670
31.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20458
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3502
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3023
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3805
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2405
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (Q)
|
98% |
474
8.19 IPS |
