System manufacturer System Product Name
Geekbench AI Score
8691
Single Precision Score
15423
Half Precision Score
6280
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | takuya |
| Upload Date | March 01 2025 12:59 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z370-F GAMING |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3711
690.2 IPS |
|
|
Image Classification (HP)
|
99% |
6491
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
3100
578.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5009
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7480
121.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4242
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
38197
44.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123346
143.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
32017
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
4429
351.3 IPS |
|
|
Object Detection (HP)
|
100% |
8270
656.0 IPS |
|
|
Object Detection (Q)
|
84% |
3686
297.3 IPS |
|
|
Face Detection (SP)
|
100% |
9086
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
15162
180.2 IPS |
|
|
Face Detection (Q)
|
97% |
7567
90.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21845
168.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45380
349.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16132
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
65519
84.2 IPS |
|
|
Style Transfer (HP)
|
100% |
176692
227.1 IPS |
|
|
Style Transfer (Q)
|
98% |
53137
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13433
496.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23567
870.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8412
311.5 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1086
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1038
19.5 IPS |
