Micro-Star International Co., Ltd. MS-7D04
Geekbench AI Score
22176
Single Precision Score
31991
Half Precision Score
13938
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 09:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D04 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z590 ACE (MS-7D04) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8680
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
11310
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
5946
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12937
209.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16472
267.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9904
161.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
164508
192.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
337169
393.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
125013
146.5 IPS |
|
|
Object Detection (SP)
|
100% |
11178
886.6 IPS |
|
|
Object Detection (HP)
|
100% |
15124
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
7740
622.6 IPS |
|
|
Face Detection (SP)
|
100% |
28260
335.8 IPS |
|
|
Face Detection (HP)
|
100% |
36539
434.2 IPS |
|
|
Face Detection (Q)
|
97% |
19702
234.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
57419
442.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98784
761.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
34823
278.9 IPS |
|
|
Style Transfer (SP)
|
100% |
253504
325.9 IPS |
|
|
Style Transfer (HP)
|
100% |
572696
736.2 IPS |
|
|
Style Transfer (Q)
|
98% |
185378
239.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35865
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49907
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20823
771.1 IPS |
|
|
Text Classification (SP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3465
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1330
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1379
25.9 IPS |
