iPhone17,2
Geekbench AI Score
4536
Single Precision Score
33226
Half Precision Score
46177
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | October 15 2024 11:44 PM |
| Views | 15 |
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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
15234
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20188
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18192
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24019
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8947
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154179
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293163
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
16436
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23022
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
42063
499.8 IPS |
|
|
Face Detection (Q)
|
100% |
58695
697.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7896
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96530
743.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161825
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24221
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245687
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303866
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5723
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49985
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84386
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4865
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9802
168.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11369
196.5 IPS |
