Generic
Geekbench AI Score
27179
Single Precision Score
29414
Half Precision Score
21177
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 20 2025 08:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Generic |
| Motherboard | ASRock H510 Pro BTC+ |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11577
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
11290
2.10 KIPS |
|
|
Image Classification (Q)
|
99% |
9440
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14554
235.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12719
206.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13485
219.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
205632
239.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
297127
346.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
168699
197.7 IPS |
|
|
Object Detection (SP)
|
100% |
11588
919.2 IPS |
|
|
Object Detection (HP)
|
100% |
11854
940.3 IPS |
|
|
Object Detection (Q)
|
87% |
9944
798.7 IPS |
|
|
Face Detection (SP)
|
100% |
33228
394.8 IPS |
|
|
Face Detection (HP)
|
100% |
35244
418.8 IPS |
|
|
Face Detection (Q)
|
97% |
27765
331.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
71198
548.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
76471
589.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
53660
430.9 IPS |
|
|
Style Transfer (SP)
|
100% |
354876
456.2 IPS |
|
|
Style Transfer (HP)
|
100% |
456889
587.3 IPS |
|
|
Style Transfer (Q)
|
98% |
276414
356.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40088
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46506
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29755
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2617
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2650
49.7 IPS |
