System manufacturer System Product Name
Geekbench AI Score
17104
Single Precision Score
17612
Half Precision Score
15041
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mvildosola |
| Upload Date | September 05 2025 10:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. STRIX B250F GAMING |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700F |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3109
578.2 IPS |
|
|
Image Classification (HP)
|
100% |
3567
663.4 IPS |
|
|
Image Classification (Q)
|
99% |
5138
958.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
13635
221.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11806
191.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12196
198.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
174650
203.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
245900
286.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
145264
170.2 IPS |
|
|
Object Detection (SP)
|
100% |
8564
679.3 IPS |
|
|
Object Detection (HP)
|
100% |
8580
680.6 IPS |
|
|
Object Detection (Q)
|
87% |
7459
599.1 IPS |
|
|
Face Detection (SP)
|
100% |
27076
321.7 IPS |
|
|
Face Detection (HP)
|
100% |
23757
282.3 IPS |
|
|
Face Detection (Q)
|
97% |
23034
274.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53728
413.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
57568
443.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
41888
336.4 IPS |
|
|
Style Transfer (SP)
|
100% |
269790
346.8 IPS |
|
|
Style Transfer (HP)
|
100% |
346725
445.7 IPS |
|
|
Style Transfer (Q)
|
98% |
225578
290.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23700
875.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27209
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19701
729.5 IPS |
|
|
Text Classification (SP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
912
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2215
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2232
41.9 IPS |
