iPhone17,2
Geekbench AI Score
5672
Single Precision Score
6691
Half Precision Score
5922
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 05:47 AM |
| Views | 1 |
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% |
2769
515.0 IPS |
|
|
Image Classification (HP)
|
100% |
2941
547.0 IPS |
|
|
Image Classification (Q)
|
97% |
2548
475.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3295
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4378
71.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4350
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15585
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16445
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15429
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3313
262.8 IPS |
|
|
Object Detection (HP)
|
100% |
3576
283.6 IPS |
|
|
Object Detection (Q)
|
91% |
2832
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
7430
88.3 IPS |
|
|
Face Detection (HP)
|
100% |
10518
125.0 IPS |
|
|
Face Detection (Q)
|
100% |
7049
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13258
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14377
110.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12340
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32734
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39063
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35235
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7977
294.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8425
311.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6796
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5891
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
900
15.6 IPS |
