iPhone17,4
Geekbench AI Score
4296
Single Precision Score
32280
Half Precision Score
44803
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:31 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% |
1909
355.0 IPS |
|
|
Image Classification (HP)
|
100% |
15474
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20993
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1786
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14627
237.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18169
294.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8666
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
155370
181.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
294351
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
16501
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22823
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
40380
479.8 IPS |
|
|
Face Detection (Q)
|
100% |
54371
646.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7532
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95597
736.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162515
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22597
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245110
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304271
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5234
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51179
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87913
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4415
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4529
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9902
170.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11883
205.4 IPS |
