Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
34357
Single Precision Score
47200
Half Precision Score
25070
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:18 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12765
2.37 KIPS |
|
|
Image Classification (HP)
|
99% |
17427
3.25 KIPS |
|
|
Image Classification (Q)
|
100% |
10354
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19987
324.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24141
391.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18221
296.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
294697
343.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
477281
556.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
249220
291.8 IPS |
|
|
Object Detection (SP)
|
100% |
17190
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
22681
1.80 KIPS |
|
|
Object Detection (Q)
|
89% |
14327
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
44540
529.2 IPS |
|
|
Face Detection (HP)
|
100% |
54431
646.8 IPS |
|
|
Face Detection (Q)
|
97% |
37357
445.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
83447
642.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
143728
1.11 KIPS |
|
|
Depth Estimation (Q)
|
75% |
60451
488.0 IPS |
|
|
Style Transfer (SP)
|
100% |
524198
673.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1001208
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
441005
568.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55674
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74933
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40202
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
4611
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2031
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4510
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4453
76.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1791
40.0 IPS |
