System manufacturer System Product Name
Geekbench AI Score
21133
Single Precision Score
29752
Half Precision Score
13764
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | vhco |
| Upload Date | March 06 2025 01:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG RAMPAGE VI EXTREME |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7980XE |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8714
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
11538
2.15 KIPS |
|
|
Image Classification (Q)
|
100% |
6094
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11448
185.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13997
226.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9042
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
181096
211.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
331550
386.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
127641
149.6 IPS |
|
|
Object Detection (SP)
|
100% |
9866
782.6 IPS |
|
|
Object Detection (HP)
|
100% |
12897
1.02 KIPS |
|
|
Object Detection (Q)
|
85% |
7722
621.2 IPS |
|
|
Face Detection (SP)
|
100% |
25420
302.0 IPS |
|
|
Face Detection (HP)
|
100% |
30850
366.6 IPS |
|
|
Face Detection (Q)
|
97% |
17640
210.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
58437
450.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
89907
692.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35562
284.8 IPS |
|
|
Style Transfer (SP)
|
100% |
258834
332.7 IPS |
|
|
Style Transfer (HP)
|
100% |
561429
721.7 IPS |
|
|
Style Transfer (Q)
|
98% |
182697
235.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31922
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50608
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20083
743.6 IPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1460
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2797
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1338
25.1 IPS |
