System manufacturer System Product Name
Geekbench AI Score
3682
Single Precision Score
1382
Half Precision Score
3162
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 11:03 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% |
1690
314.2 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2001
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13228
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8655
10.1 IPS |
|
|
Pose Estimation (Q)
|
87% |
18581
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
86% |
1647
132.4 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
3818
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9407
72.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1740
13.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5697
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26689
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16759
21.5 IPS |
|
|
Style Transfer (Q)
|
87% |
18681
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3404
125.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2453
90.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2613
96.8 IPS |
|
|
Text Classification (SP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
557
743.2 IPS |
|
|
Text Classification (Q)
|
97% |
385
515.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1756
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (Q)
|
60% |
1602
35.7 IPS |
