ASUS System Product Name
Geekbench AI Score
44530
Single Precision Score
64139
Half Precision Score
33870
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 23 2025 07:16 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS D4 |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13490F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15931
2.96 KIPS |
|
|
Image Classification (HP)
|
100% |
19867
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
13415
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32901
533.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
40198
651.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
30464
495.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
389224
454.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
945907
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
317408
371.8 IPS |
|
|
Object Detection (SP)
|
100% |
21680
1.72 KIPS |
|
|
Object Detection (HP)
|
100% |
27036
2.14 KIPS |
|
|
Object Detection (Q)
|
84% |
18664
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
63704
756.9 IPS |
|
|
Face Detection (HP)
|
100% |
78134
928.4 IPS |
|
|
Face Detection (Q)
|
97% |
55540
662.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
111178
856.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
177122
1.36 KIPS |
|
|
Depth Estimation (Q)
|
77% |
85126
681.8 IPS |
|
|
Style Transfer (SP)
|
100% |
589112
757.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1631431
2.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
535567
690.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67760
2.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87686
3.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50243
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4517
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2266
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
6537
112.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6452
111.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2847
53.4 IPS |
