ASUS Rampage III Extreme System manufacturer System Product Name
Geekbench AI Score
30
Single Precision Score
30
Half Precision Score
24
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | enroscado |
| Upload Date | December 01 2025 04:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-990X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Rampage III Extreme |
| CPU Information | |
|---|---|
| Name | Intel Core i7-990X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18
3.28 IPS |
|
|
Image Classification (HP)
|
100% |
18
3.28 IPS |
|
|
Image Classification (Q)
|
97% |
15
2.78 IPS |
|
|
Image Segmentation (SP)
|
100% |
24
0.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
24
0.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
20
0.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
29
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
29
0.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
25
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
17
1.37 IPS |
|
|
Object Detection (HP)
|
100% |
17
1.37 IPS |
|
|
Object Detection (Q)
|
87% |
14
1.15 IPS |
|
|
Face Detection (SP)
|
100% |
58
0.69 IPS |
|
|
Face Detection (HP)
|
100% |
58
0.69 IPS |
|
|
Face Detection (Q)
|
97% |
47
0.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
42
0.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
42
0.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
30
0.27 IPS |
|
|
Style Transfer (SP)
|
100% |
88
0.11 IPS |
|
|
Style Transfer (HP)
|
100% |
88
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
76
0.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19
0.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19
0.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16
0.58 IPS |
|
|
Text Classification (SP)
|
100% |
23
30.7 IPS |
|
|
Text Classification (HP)
|
100% |
23
30.7 IPS |
|
|
Text Classification (Q)
|
91% |
18
24.4 IPS |
|
|
Machine Translation (SP)
|
100% |
40
0.70 IPS |
|
|
Machine Translation (HP)
|
100% |
40
0.70 IPS |
|
|
Machine Translation (Q)
|
58% |
23
0.54 IPS |
