1873-S-P-O-O-F-E-R-29246 1873-S-P-O-O-F-E-R-29246
Geekbench AI Score
5367
Single Precision Score
5162
Half Precision Score
4359
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ngocanh198 |
| Upload Date | March 27 2026 08:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | 1873-S-P-O-O-F-E-R-29246 1873-S-P-O-O-F-E-R-29246 |
| Motherboard | 1877-S-P-O-O-F-E-R-7226 1877-S-P-O-O-F-E-R-7226 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1606
298.6 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
99% |
1451
270.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2071
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
48836
57.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
28261
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
40821
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
1893
150.2 IPS |
|
|
Object Detection (HP)
|
100% |
2504
198.6 IPS |
|
|
Object Detection (Q)
|
84% |
1692
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
4946
58.8 IPS |
|
|
Face Detection (Q)
|
97% |
3524
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15458
119.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14188
109.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12313
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
75745
97.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46910
60.3 IPS |
|
|
Style Transfer (Q)
|
98% |
61055
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12029
444.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9657
356.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8426
312.0 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (Q)
|
97% |
911
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
96% |
780
13.5 IPS |
|
|
Machine Translation (Q)
|
70% |
588
11.0 IPS |
