iPhone17,2
Geekbench AI Score
5488
Single Precision Score
6643
Half Precision Score
5838
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 14 2024 06:24 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2675
497.5 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.4 IPS |
|
|
Image Classification (Q)
|
97% |
2549
475.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4388
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4371
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15645
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16390
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15542
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3140
249.1 IPS |
|
|
Object Detection (HP)
|
100% |
3486
276.5 IPS |
|
|
Object Detection (Q)
|
91% |
2623
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
6662
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
9857
117.1 IPS |
|
|
Face Detection (Q)
|
100% |
7157
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13197
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14349
110.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12228
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32556
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39380
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34751
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7988
295.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8285
305.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6721
248.2 IPS |
|
|
Text Classification (SP)
|
100% |
3360
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5769
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
852
14.7 IPS |
