ASUS System Product Name
Geekbench AI Score
34397
Single Precision Score
49847
Half Precision Score
26648
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 04:19 PM |
| Views | 16 |
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 B650M-PLUS WIFI |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12870
2.39 KIPS |
|
|
Image Classification (HP)
|
99% |
17682
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
11151
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21348
346.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
29288
474.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21235
345.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
276007
322.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
484272
565.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
239777
280.9 IPS |
|
|
Object Detection (SP)
|
100% |
17129
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
24056
1.91 KIPS |
|
|
Object Detection (Q)
|
85% |
14767
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
49188
584.5 IPS |
|
|
Face Detection (HP)
|
100% |
64111
761.8 IPS |
|
|
Face Detection (Q)
|
97% |
42197
503.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
81517
628.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
153105
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62737
501.0 IPS |
|
|
Style Transfer (SP)
|
100% |
408170
524.7 IPS |
|
|
Style Transfer (HP)
|
100% |
909600
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
355221
458.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55021
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73875
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39882
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3481
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4256
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2159
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5695
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5593
96.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2660
49.9 IPS |
