iPhone17,2
Geekbench AI Score
4472
Single Precision Score
32947
Half Precision Score
45885
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ApolloZero |
| Upload Date | December 02 2024 10:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
15197
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20267
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18192
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24151
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8511
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
153220
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293090
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2100
166.6 IPS |
|
|
Object Detection (HP)
|
100% |
16289
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22378
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41538
493.6 IPS |
|
|
Face Detection (Q)
|
100% |
57549
683.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7660
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95783
737.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160545
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23137
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245329
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302544
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5612
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50336
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84411
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4744
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4814
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9373
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11347
196.1 IPS |
