System manufacturer System Product Name
Geekbench AI Score
21812
Single Precision Score
30044
Half Precision Score
13879
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | crosstalk |
| Upload Date | February 14 2025 04:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME ALPHA |
| Power Plan | 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 | 3.79 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8597
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
11361
2.12 KIPS |
|
|
Image Classification (Q)
|
100% |
6041
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12966
210.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14123
228.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9383
152.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
183486
214.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
336966
393.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
136773
160.3 IPS |
|
|
Object Detection (SP)
|
100% |
10606
841.3 IPS |
|
|
Object Detection (HP)
|
100% |
13759
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
7461
600.2 IPS |
|
|
Face Detection (SP)
|
100% |
27651
328.6 IPS |
|
|
Face Detection (HP)
|
100% |
36389
432.4 IPS |
|
|
Face Detection (Q)
|
97% |
18936
225.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
57572
443.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98966
762.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
35987
288.2 IPS |
|
|
Style Transfer (SP)
|
100% |
270905
348.3 IPS |
|
|
Style Transfer (HP)
|
100% |
572161
735.5 IPS |
|
|
Style Transfer (Q)
|
98% |
190180
245.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34687
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44789
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20585
762.2 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
2836
3.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1315
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1307
24.5 IPS |
