CORSAIR CORSAIR VENGEANCE i8300
Geekbench AI Score
7254
Single Precision Score
2675
Half Precision Score
12181
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | rmealey19 |
| Upload Date | July 09 2025 12:14 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CORSAIR CORSAIR VENGEANCE i8300 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5706
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
895
166.4 IPS |
|
|
Image Classification (Q)
|
99% |
10151
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2736
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17494
284.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15788
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8392
9.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
47220
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
5559
440.9 IPS |
|
|
Object Detection (HP)
|
100% |
1217
96.6 IPS |
|
|
Object Detection (Q)
|
86% |
12588
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
16044
190.6 IPS |
|
|
Face Detection (HP)
|
100% |
2815
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
14608
174.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16406
126.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3715
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
26705
213.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34421
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21438
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35964
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3490
128.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7140
264.4 IPS |
|
|
Text Classification (SP)
|
100% |
1859
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1550
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3121
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4391
88.2 IPS |
