iPhone17,4
Geekbench AI Score
4418
Single Precision Score
32265
Half Precision Score
44038
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,4 |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1890
351.5 IPS |
|
|
Image Classification (HP)
|
100% |
15220
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19707
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14642
237.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18143
294.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9393
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154918
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293386
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.7 IPS |
|
|
Object Detection (HP)
|
100% |
16445
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22567
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
40353
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
54483
647.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7915
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95524
736.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161583
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23390
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245790
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
302727
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5566
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51036
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85151
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4357
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10134
174.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11723
202.6 IPS |
