iPhone17,3
Geekbench AI Score
4103
Single Precision Score
4350
Half Precision Score
4271
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | KeviNW000 |
| Upload Date | November 10 2024 08:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.4 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.0 IPS |
|
|
Image Classification (Q)
|
97% |
906
169.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3692
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3193
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13590
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13914
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13308
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (Q)
|
91% |
1962
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
7195
85.5 IPS |
|
|
Face Detection (HP)
|
100% |
9467
112.5 IPS |
|
|
Face Detection (Q)
|
100% |
6212
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11446
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12060
92.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10374
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29547
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32628
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30889
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4149
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5992
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5992
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
98% |
513
8.86 IPS |
