ASUS System Product Name
Geekbench AI Score
28696
Single Precision Score
43763
Half Precision Score
21895
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | May 12 2025 04:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10111
1.88 KIPS |
|
|
Image Classification (HP)
|
99% |
17247
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
8952
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21344
346.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28127
456.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18763
305.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
162529
189.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
432360
504.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
151742
177.8 IPS |
|
|
Object Detection (SP)
|
100% |
13993
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
20906
1.66 KIPS |
|
|
Object Detection (Q)
|
85% |
11910
958.8 IPS |
|
|
Face Detection (SP)
|
100% |
40546
481.8 IPS |
|
|
Face Detection (HP)
|
100% |
54995
653.5 IPS |
|
|
Face Detection (Q)
|
97% |
34875
415.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
68180
525.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
108768
840.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
56091
448.4 IPS |
|
|
Style Transfer (SP)
|
100% |
298603
383.9 IPS |
|
|
Style Transfer (HP)
|
100% |
668999
860.0 IPS |
|
|
Style Transfer (Q)
|
98% |
250841
323.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45019
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58609
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33023
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4447
5.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2028
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5709
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5635
97.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2539
47.6 IPS |
