System manufacturer System Product Name
Geekbench AI Score
3678
Single Precision Score
1358
Half Precision Score
3132
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:58 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% |
1669
310.4 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
96% |
2445
456.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2026
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12600
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8356
9.75 IPS |
|
|
Pose Estimation (Q)
|
87% |
18043
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
86% |
1630
131.0 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
96% |
3786
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9367
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1713
13.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5674
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25972
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16815
21.6 IPS |
|
|
Style Transfer (Q)
|
87% |
18529
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3361
124.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2417
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2659
98.5 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
544
725.9 IPS |
|
|
Text Classification (Q)
|
97% |
378
506.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1733
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
60% |
1560
34.8 IPS |
