ASUS System Product Name
Geekbench AI Score
15359
Single Precision Score
24001
Half Precision Score
12299
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | QueenLily9291 |
| Upload Date | August 24 2025 11:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790M-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5983
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
9056
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
5376
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9542
154.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12387
200.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8741
142.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
91086
106.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
238979
278.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
78120
91.5 IPS |
|
|
Object Detection (SP)
|
100% |
7733
613.4 IPS |
|
|
Object Detection (HP)
|
100% |
11998
951.7 IPS |
|
|
Object Detection (Q)
|
84% |
6596
532.0 IPS |
|
|
Face Detection (SP)
|
100% |
17286
205.4 IPS |
|
|
Face Detection (HP)
|
100% |
24803
294.7 IPS |
|
|
Face Detection (Q)
|
97% |
15807
188.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
40796
314.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
76386
588.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34451
275.6 IPS |
|
|
Style Transfer (SP)
|
100% |
142320
183.0 IPS |
|
|
Style Transfer (HP)
|
100% |
322213
414.2 IPS |
|
|
Style Transfer (Q)
|
98% |
123949
159.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26364
973.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39212
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20234
749.2 IPS |
|
|
Text Classification (SP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
2808
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1544
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2819
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1552
29.1 IPS |
