iPhone17,3
Geekbench AI Score
4184
Single Precision Score
32900
Half Precision Score
45869
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 03:04 AM |
| Views | 7 |
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% |
1905
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
15912
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
21822
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14645
237.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18151
294.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8115
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
153534
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293683
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2011
159.5 IPS |
|
|
Object Detection (HP)
|
100% |
16484
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
23333
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
40419
480.3 IPS |
|
|
Face Detection (Q)
|
100% |
54242
644.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7254
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96024
739.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164097
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
21499
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246116
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
305855
394.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51338
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86410
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5088
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5303
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10098
173.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12178
210.4 IPS |
