ASUS System Product Name
Geekbench AI Score
37737
Single Precision Score
51451
Half Precision Score
27716
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 01:18 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13389
2.49 KIPS |
|
|
Image Classification (HP)
|
99% |
17080
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
11082
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24178
391.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
30302
491.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22390
364.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
324950
379.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
541736
632.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
281034
329.1 IPS |
|
|
Object Detection (SP)
|
100% |
18667
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
23818
1.89 KIPS |
|
|
Object Detection (Q)
|
89% |
15776
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
51451
611.3 IPS |
|
|
Face Detection (HP)
|
100% |
63006
748.7 IPS |
|
|
Face Detection (Q)
|
97% |
42784
510.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
93168
717.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
157825
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68067
549.5 IPS |
|
|
Style Transfer (SP)
|
100% |
572254
735.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1103230
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
486161
626.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59550
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79598
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44018
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4221
5.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2123
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5305
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1838
41.0 IPS |
