iPhone17,2
Geekbench AI Score
4407
Single Precision Score
32525
Half Precision Score
45375
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 05 2024 09:35 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1958
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
15564
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
19758
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18145
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23859
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8283
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
150983
176.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293029
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
16002
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22275
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3498
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
41198
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
58058
689.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7664
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95553
736.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159910
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23614
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246159
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
306727
395.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5218
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50014
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86601
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4301
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4323
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9316
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11280
194.9 IPS |
