Generic
Geekbench AI Score
12072
Single Precision Score
13562
Half Precision Score
8882
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cwebb15 |
| Upload Date | February 27 2025 10:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon VII |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock B365 Phantom Gaming 4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5434
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
6202
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
4407
819.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7330
118.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7373
119.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6325
102.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
91887
107.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
129978
151.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75708
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
5378
426.6 IPS |
|
|
Object Detection (HP)
|
100% |
4761
377.7 IPS |
|
|
Object Detection (Q)
|
88% |
4846
388.6 IPS |
|
|
Face Detection (SP)
|
100% |
13417
159.4 IPS |
|
|
Face Detection (HP)
|
100% |
15555
184.8 IPS |
|
|
Face Detection (Q)
|
97% |
10573
126.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
32923
253.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33382
257.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
23106
185.1 IPS |
|
|
Style Transfer (SP)
|
100% |
166914
214.6 IPS |
|
|
Style Transfer (HP)
|
100% |
210841
271.0 IPS |
|
|
Style Transfer (Q)
|
98% |
129542
167.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18209
672.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23055
851.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14258
528.0 IPS |
|
|
Text Classification (SP)
|
100% |
1305
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1470
1.96 KIPS |
|
|
Text Classification (Q)
|
97% |
695
931.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2005
34.5 IPS |
|
|
Machine Translation (Q)
|
70% |
953
17.9 IPS |
