ASUS System Product Name
Geekbench AI Score
21060
Single Precision Score
35467
Half Precision Score
38082
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Aaronage |
| Upload Date | January 28 2025 11:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10218
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
15367
2.86 KIPS |
|
|
Image Classification (Q)
|
100% |
16914
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19942
323.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26395
427.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26950
436.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
87574
102.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
321371
375.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
537162
628.9 IPS |
|
|
Object Detection (SP)
|
100% |
9871
783.0 IPS |
|
|
Object Detection (HP)
|
100% |
17669
1.40 KIPS |
|
|
Object Detection (Q)
|
88% |
18967
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
32459
385.7 IPS |
|
|
Face Detection (HP)
|
100% |
46006
546.7 IPS |
|
|
Face Detection (Q)
|
100% |
47626
565.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
58927
454.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109032
840.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
122874
955.5 IPS |
|
|
Style Transfer (SP)
|
100% |
194962
250.6 IPS |
|
|
Style Transfer (HP)
|
100% |
531904
683.8 IPS |
|
|
Style Transfer (Q)
|
98% |
571326
736.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28376
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54778
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51019
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (Q)
|
92% |
2361
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3430
59.1 IPS |
