ASUS System Product Name
Geekbench AI Score
33881
Single Precision Score
48812
Half Precision Score
25695
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jtracy667 |
| Upload Date | August 21 2024 06:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12655
2.35 KIPS |
|
|
Image Classification (HP)
|
99% |
17380
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10857
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21612
350.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27062
438.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19871
323.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
262666
306.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
492331
574.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
232600
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
16957
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
23438
1.86 KIPS |
|
|
Object Detection (Q)
|
89% |
14652
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
44369
527.2 IPS |
|
|
Face Detection (HP)
|
100% |
57053
677.9 IPS |
|
|
Face Detection (Q)
|
97% |
37653
448.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
79608
613.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
150601
1.16 KIPS |
|
|
Depth Estimation (Q)
|
70% |
58960
493.9 IPS |
|
|
Style Transfer (SP)
|
100% |
410053
527.1 IPS |
|
|
Style Transfer (HP)
|
100% |
901358
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
359567
463.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56925
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75897
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42295
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
4579
6.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2273
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5411
93.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5257
90.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2224
49.6 IPS |
