System manufacturer System Product Name
Geekbench AI Score
3701
Single Precision Score
1410
Half Precision Score
3195
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:44 AM |
| Views | 3 |
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% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2094
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13635
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8809
10.3 IPS |
|
|
Pose Estimation (Q)
|
87% |
19002
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (Q)
|
86% |
1654
132.9 IPS |
|
|
Face Detection (SP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (Q)
|
96% |
3674
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9146
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1785
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5863
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25559
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17400
22.4 IPS |
|
|
Style Transfer (Q)
|
87% |
18663
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3346
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2639
97.8 IPS |
|
|
Text Classification (SP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
550
734.7 IPS |
|
|
Text Classification (Q)
|
97% |
390
522.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
60% |
1631
36.4 IPS |
