Generic
Geekbench AI Score
14977
Single Precision Score
24318
Half Precision Score
10349
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | vinylman |
| Upload Date | May 23 2025 04:55 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570 Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6208
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
9892
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
4723
880.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10539
170.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14668
237.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8410
136.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
77996
91.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
215790
251.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
64610
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
7438
590.0 IPS |
|
|
Object Detection (HP)
|
100% |
11941
947.2 IPS |
|
|
Object Detection (Q)
|
84% |
5749
463.7 IPS |
|
|
Face Detection (SP)
|
100% |
18274
217.1 IPS |
|
|
Face Detection (HP)
|
100% |
28466
338.2 IPS |
|
|
Face Detection (Q)
|
97% |
14606
174.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
36488
281.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
66301
510.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
25197
201.9 IPS |
|
|
Style Transfer (SP)
|
100% |
131586
169.2 IPS |
|
|
Style Transfer (HP)
|
100% |
294118
378.1 IPS |
|
|
Style Transfer (Q)
|
98% |
106402
137.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24375
900.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34744
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14469
535.8 IPS |
|
|
Text Classification (SP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (HP)
|
99% |
2685
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3686
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1467
27.5 IPS |
