iPhone17,3
Geekbench AI Score
4115
Single Precision Score
32250
Half Precision Score
44689
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1923
357.6 IPS |
|
|
Image Classification (HP)
|
100% |
15474
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20524
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14645
237.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18151
294.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7699
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
143685
167.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292266
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
1918
152.2 IPS |
|
|
Object Detection (HP)
|
100% |
16218
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22342
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
40673
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
54024
641.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7000
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95315
734.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161015
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21137
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245275
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303363
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50080
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84880
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4870
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4970
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9939
171.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11733
202.8 IPS |
