iPhone17,3
Geekbench AI Score
4333
Single Precision Score
33106
Half Precision Score
46217
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 07:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1946
361.9 IPS |
|
|
Image Classification (HP)
|
100% |
15385
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20788
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18164
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23901
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8409
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
154413
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294917
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2109
167.3 IPS |
|
|
Object Detection (HP)
|
100% |
16399
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22435
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
41513
493.3 IPS |
|
|
Face Detection (Q)
|
100% |
55701
661.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7589
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95569
736.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161426
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22714
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245362
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304902
393.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5349
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49956
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86114
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4796
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4914
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9583
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11659
201.5 IPS |
