ASUS System Product Name
Geekbench AI Score
33805
Single Precision Score
45552
Half Precision Score
25046
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12034
2.24 KIPS |
|
|
Image Classification (HP)
|
99% |
15831
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
10454
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20382
330.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24396
395.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15933
259.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
296133
345.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
499254
582.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
262327
307.2 IPS |
|
|
Object Detection (SP)
|
100% |
15910
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
20011
1.59 KIPS |
|
|
Object Detection (Q)
|
89% |
13088
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
43898
521.6 IPS |
|
|
Face Detection (HP)
|
100% |
52394
622.5 IPS |
|
|
Face Detection (Q)
|
97% |
35544
423.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
85169
656.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
146345
1.13 KIPS |
|
|
Depth Estimation (Q)
|
75% |
63381
511.2 IPS |
|
|
Style Transfer (SP)
|
100% |
534863
687.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1006976
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
457489
589.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54487
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70854
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40538
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2028
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4790
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4654
80.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2005
44.7 IPS |
