ASUS System Product Name
Geekbench AI Score
17025
Single Precision Score
25606
Half Precision Score
11455
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | September 16 2025 12:20 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7165
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
9562
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
5127
956.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10508
170.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13258
214.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8299
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
101451
118.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
286850
334.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
82462
96.6 IPS |
|
|
Object Detection (SP)
|
100% |
8497
674.0 IPS |
|
|
Object Detection (HP)
|
100% |
11632
922.6 IPS |
|
|
Object Detection (Q)
|
85% |
6310
508.0 IPS |
|
|
Face Detection (SP)
|
100% |
20437
242.8 IPS |
|
|
Face Detection (HP)
|
100% |
28523
338.9 IPS |
|
|
Face Detection (Q)
|
97% |
15795
188.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
48111
370.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
73945
569.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
30399
243.5 IPS |
|
|
Style Transfer (SP)
|
100% |
190653
245.1 IPS |
|
|
Style Transfer (HP)
|
100% |
398169
511.9 IPS |
|
|
Style Transfer (Q)
|
98% |
145538
187.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28628
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37638
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16589
614.3 IPS |
|
|
Text Classification (SP)
|
100% |
1926
2.57 KIPS |
|
|
Text Classification (HP)
|
99% |
2954
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1139
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3051
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1331
25.0 IPS |
