System manufacturer System Product Name
Geekbench AI Score
13468
Single Precision Score
22248
Half Precision Score
9148
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | omovomo |
| Upload Date | September 02 2025 10:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. SABERTOOTH Z170 MARK 1 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5405
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
7944
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
4004
746.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9020
146.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13420
217.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7225
117.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
69293
80.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
185458
216.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57495
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
7034
557.9 IPS |
|
|
Object Detection (HP)
|
100% |
11118
881.9 IPS |
|
|
Object Detection (Q)
|
84% |
5334
430.2 IPS |
|
|
Face Detection (SP)
|
100% |
16141
191.8 IPS |
|
|
Face Detection (HP)
|
100% |
25001
297.1 IPS |
|
|
Face Detection (Q)
|
97% |
12954
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33601
258.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
62429
482.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
23465
187.8 IPS |
|
|
Style Transfer (SP)
|
100% |
113761
146.2 IPS |
|
|
Style Transfer (HP)
|
100% |
277521
356.8 IPS |
|
|
Style Transfer (Q)
|
98% |
91825
118.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19280
711.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30854
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12763
472.6 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3087
4.12 KIPS |
|
|
Text Classification (Q)
|
97% |
982
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3017
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1323
24.8 IPS |
