ASUS System Product Name
Geekbench AI Score
12508
Single Precision Score
12998
Half Precision Score
9314
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 04:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC Evaluation (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5525
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5541
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
4670
871.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8699
141.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14617
237.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7606
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
72093
84.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
78471
91.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
58682
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
7342
582.4 IPS |
|
|
Object Detection (HP)
|
99% |
7300
580.7 IPS |
|
|
Object Detection (Q)
|
85% |
5904
475.1 IPS |
|
|
Face Detection (SP)
|
100% |
19136
227.4 IPS |
|
|
Face Detection (HP)
|
100% |
19254
228.8 IPS |
|
|
Face Detection (Q)
|
97% |
14683
175.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
29396
226.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
28297
218.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
22520
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
164113
211.0 IPS |
|
|
Style Transfer (HP)
|
100% |
150314
193.2 IPS |
|
|
Style Transfer (Q)
|
98% |
121616
156.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16864
622.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23115
853.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11908
440.9 IPS |
|
|
Text Classification (SP)
|
86% |
818
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
614
819.8 IPS |
|
|
Text Classification (Q)
|
84% |
626
850.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2894
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2554
44.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1333
25.0 IPS |
