System manufacturer System Product Name
Geekbench AI Score
3734
Single Precision Score
1404
Half Precision Score
3280
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 05:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X299-E GAMING II |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7900X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1609
299.3 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
96% |
2551
476.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2127
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14239
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9102
10.6 IPS |
|
|
Pose Estimation (Q)
|
87% |
19733
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
86% |
1661
133.6 IPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
1155
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
3920
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9192
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1803
13.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5959
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27405
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18598
23.9 IPS |
|
|
Style Transfer (Q)
|
87% |
19201
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3480
128.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2593
95.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2771
102.7 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
570
760.4 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
60% |
1645
36.7 IPS |
