iPhone17,4
Geekbench AI Score
4268
Single Precision Score
32359
Half Precision Score
44488
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:13 AM |
| Views | 3 |
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% |
1896
352.5 IPS |
|
|
Image Classification (HP)
|
100% |
15366
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20504
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1786
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14599
236.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18066
292.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8431
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
151732
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292480
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2052
162.7 IPS |
|
|
Object Detection (HP)
|
100% |
16291
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22515
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
40213
477.8 IPS |
|
|
Face Detection (Q)
|
100% |
54508
647.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7392
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95223
733.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162387
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22269
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245283
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303578
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5311
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50703
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84734
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4576
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4730
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10418
179.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11561
199.8 IPS |
