System manufacturer System Product Name
Geekbench AI Score
8575
Single Precision Score
8505
Half Precision Score
6323
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 01:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-E GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2320
431.4 IPS |
|
|
Image Classification (HP)
|
100% |
3616
672.4 IPS |
|
|
Image Classification (Q)
|
99% |
1986
370.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5513
89.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5372
87.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4439
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
67906
79.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
37437
43.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
52233
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
3129
248.2 IPS |
|
|
Object Detection (HP)
|
100% |
4618
366.3 IPS |
|
|
Object Detection (Q)
|
84% |
2611
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
6082
72.3 IPS |
|
|
Face Detection (HP)
|
100% |
9236
109.7 IPS |
|
|
Face Detection (Q)
|
97% |
5004
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20279
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18168
140.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
15594
124.7 IPS |
|
|
Style Transfer (SP)
|
100% |
109585
140.9 IPS |
|
|
Style Transfer (HP)
|
100% |
59964
77.1 IPS |
|
|
Style Transfer (Q)
|
98% |
81097
104.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18599
686.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14274
527.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11126
412.0 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (Q)
|
97% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2364
40.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1320
24.8 IPS |
