System manufacturer System Product Name
Geekbench AI Score
3625
Single Precision Score
1381
Half Precision Score
3236
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 05:21 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% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.0 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2127
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13773
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8732
10.2 IPS |
|
|
Pose Estimation (Q)
|
87% |
19061
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
86% |
1631
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (Q)
|
96% |
3901
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8948
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1763
13.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5921
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25836
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18153
23.3 IPS |
|
|
Style Transfer (Q)
|
87% |
18924
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2751
101.9 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
567
756.5 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
60% |
1592
35.5 IPS |
