iPhone17,2
Geekbench AI Score
4330
Single Precision Score
32107
Half Precision Score
44203
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Diacritical |
| Upload Date | September 22 2024 02:15 AM |
| Views | 19 |
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% |
1971
366.5 IPS |
|
|
Image Classification (HP)
|
100% |
15501
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21410
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14655
237.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18246
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8063
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
146577
171.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
289987
339.9 IPS |
|
|
Object Detection (SP)
|
100% |
2030
161.0 IPS |
|
|
Object Detection (HP)
|
100% |
16131
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22457
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3362
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
41061
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
54649
649.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7459
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95418
735.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163759
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22267
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245388
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302357
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5341
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50431
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84759
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4320
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9327
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11301
195.3 IPS |
