iPhone17,4
Geekbench AI Score
4236
Single Precision Score
32333
Half Precision Score
44315
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:39 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1906
354.4 IPS |
|
|
Image Classification (HP)
|
100% |
15282
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20299
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14649
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18151
294.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8076
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
150309
175.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293103
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2032
161.1 IPS |
|
|
Object Detection (HP)
|
100% |
16387
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22533
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
40803
484.8 IPS |
|
|
Face Detection (Q)
|
100% |
54182
643.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7281
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95466
735.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162395
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22115
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246002
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303581
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5273
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51072
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85079
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4588
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4443
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3562
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10086
173.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11888
205.4 IPS |
