Generic
Geekbench AI Score
19788
Single Precision Score
30730
Half Precision Score
12904
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | splinefx |
| Upload Date | November 12 2025 12:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370 Extreme4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7863
1.46 KIPS |
|
|
Image Classification (HP)
|
99% |
12094
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
5708
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12678
205.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16839
273.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9772
158.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
114138
133.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
338279
394.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
91374
107.1 IPS |
|
|
Object Detection (SP)
|
100% |
10246
812.8 IPS |
|
|
Object Detection (HP)
|
100% |
14593
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
7399
595.2 IPS |
|
|
Face Detection (SP)
|
100% |
26084
309.9 IPS |
|
|
Face Detection (HP)
|
100% |
35524
422.1 IPS |
|
|
Face Detection (Q)
|
97% |
18841
224.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
55235
425.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96475
743.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34616
277.3 IPS |
|
|
Style Transfer (SP)
|
100% |
214395
275.6 IPS |
|
|
Style Transfer (HP)
|
100% |
531682
683.5 IPS |
|
|
Style Transfer (Q)
|
98% |
164021
211.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32572
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41328
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18393
681.1 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
2917
3.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1232
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1401
26.3 IPS |
