iPhone17,3
Geekbench AI Score
3961
Single Precision Score
4369
Half Precision Score
4176
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
727
135.1 IPS |
|
|
Image Classification (HP)
|
100% |
810
150.6 IPS |
|
|
Image Classification (Q)
|
97% |
875
163.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3686
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3646
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13585
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13993
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13373
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (Q)
|
91% |
1519
121.4 IPS |
|
|
Face Detection (SP)
|
100% |
7403
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
9333
110.9 IPS |
|
|
Face Detection (Q)
|
100% |
6356
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12045
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12861
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10520
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29639
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32692
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31045
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4531
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4106
151.6 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (Q)
|
98% |
501
8.67 IPS |
