iPhone17,2
Geekbench AI Score
4410
Single Precision Score
33135
Half Precision Score
46214
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
15532
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21236
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18311
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24018
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8569
10.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
153766
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293580
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2107
167.1 IPS |
|
|
Object Detection (HP)
|
100% |
16481
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22603
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
41836
497.1 IPS |
|
|
Face Detection (Q)
|
100% |
59890
711.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7507
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95458
735.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161478
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22556
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245126
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304286
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5198
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50622
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86018
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4642
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4428
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9625
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11716
202.5 IPS |
