Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
18383
Single Precision Score
31993
Half Precision Score
11612
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 10:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| 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% |
7480
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
12762
2.38 KIPS |
|
|
Image Classification (Q)
|
100% |
5044
938.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
13686
221.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22168
359.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10459
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
86844
101.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
273333
318.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
71854
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
9316
739.0 IPS |
|
|
Object Detection (HP)
|
100% |
16664
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
7121
573.2 IPS |
|
|
Face Detection (SP)
|
100% |
21988
261.3 IPS |
|
|
Face Detection (HP)
|
100% |
39059
464.1 IPS |
|
|
Face Detection (Q)
|
97% |
15865
189.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
39698
305.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
79442
612.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
27700
221.5 IPS |
|
|
Style Transfer (SP)
|
100% |
156309
200.9 IPS |
|
|
Style Transfer (HP)
|
100% |
398085
511.7 IPS |
|
|
Style Transfer (Q)
|
98% |
116943
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31566
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42994
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17606
651.9 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1344
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4284
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4334
74.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1359
25.5 IPS |
