System manufacturer System Product Name
Geekbench AI Score
3697
Single Precision Score
1363
Half Precision Score
3177
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:19 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% |
1576
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.8 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2091
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13975
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8900
10.4 IPS |
|
|
Pose Estimation (Q)
|
87% |
18861
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
1614
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
3803
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1730
13.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5820
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26509
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17923
23.0 IPS |
|
|
Style Transfer (Q)
|
87% |
18462
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3434
126.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2529
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2696
99.9 IPS |
|
|
Text Classification (SP)
|
100% |
1390
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
548
730.9 IPS |
|
|
Text Classification (Q)
|
97% |
383
513.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
60% |
1558
34.8 IPS |
