iPhone17,2
Geekbench AI Score
4301
Single Precision Score
31491
Half Precision Score
44613
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 17 2024 10:49 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
15405
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20737
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18298
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24127
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8110
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
148977
173.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291904
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2079
164.9 IPS |
|
|
Object Detection (HP)
|
100% |
16130
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22143
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3497
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
41134
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
58799
698.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6992
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
92452
712.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161046
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22317
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244460
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303911
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5095
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52240
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85355
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3688
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9387
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10663
184.3 IPS |
