iPhone17,4
Geekbench AI Score
4368
Single Precision Score
32243
Half Precision Score
44189
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 09:58 PM |
| Views | 12 |
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% |
1904
354.1 IPS |
|
|
Image Classification (HP)
|
100% |
15399
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20089
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14591
236.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18144
294.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8980
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154866
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293381
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
16324
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22666
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
40088
476.3 IPS |
|
|
Face Detection (Q)
|
100% |
54010
641.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7803
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95298
734.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161509
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23102
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245715
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303306
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5489
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52378
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84736
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4357
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4427
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9981
171.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11803
204.0 IPS |
