CORSAIR CORSAIR ONE i600
Geekbench AI Score
7554
Single Precision Score
2616
Half Precision Score
12374
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | arieschop |
| Upload Date | November 12 2025 06:42 PM |
| Views | 2 |
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 ONE i600 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890M-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5994
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
886
164.8 IPS |
|
|
Image Classification (Q)
|
99% |
10426
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3267
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1453
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18176
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15413
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8230
9.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
53983
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
5212
413.4 IPS |
|
|
Object Detection (HP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (Q)
|
86% |
12766
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
17608
209.2 IPS |
|
|
Face Detection (HP)
|
100% |
2226
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
14665
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17234
132.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3772
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
28117
224.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35261
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20458
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31622
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5761
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6685
247.6 IPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1703
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4343
87.3 IPS |
