iPhone17,3
Geekbench AI Score
4077
Single Precision Score
7109
Half Precision Score
5663
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1904
354.1 IPS |
|
|
Image Classification (HP)
|
100% |
3175
590.5 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3152
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7791
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
16186
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13848
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1926
152.8 IPS |
|
|
Object Detection (HP)
|
97% |
3511
279.5 IPS |
|
|
Object Detection (Q)
|
94% |
2449
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6516
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3723
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6926
53.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13056
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8991
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21297
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34760
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28043
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6576
242.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4514
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5930
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5815
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5805
100.3 IPS |
