Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
17710
Single Precision Score
27626
Half Precision Score
11486
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | flim |
| Upload Date | January 17 2025 12:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A WIFI (MS-7E07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7642
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
10879
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
5246
978.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11175
181.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14739
238.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8564
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
96210
112.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
282367
329.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
78726
92.2 IPS |
|
|
Object Detection (SP)
|
100% |
9254
734.1 IPS |
|
|
Object Detection (HP)
|
100% |
12991
1.03 KIPS |
|
|
Object Detection (Q)
|
85% |
6641
534.6 IPS |
|
|
Face Detection (SP)
|
100% |
21616
256.8 IPS |
|
|
Face Detection (HP)
|
100% |
31982
380.0 IPS |
|
|
Face Detection (Q)
|
97% |
15957
190.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47139
363.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74497
574.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
29725
238.2 IPS |
|
|
Style Transfer (SP)
|
100% |
191933
246.7 IPS |
|
|
Style Transfer (HP)
|
100% |
411349
528.8 IPS |
|
|
Style Transfer (Q)
|
98% |
143007
184.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29347
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38955
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16472
609.9 IPS |
|
|
Text Classification (SP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3522
4.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3275
56.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1320
24.8 IPS |
