Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
43993
Single Precision Score
64456
Half Precision Score
33051
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 16 2025 02:22 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15550
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
20206
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
13015
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32621
528.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
39545
641.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
29586
481.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
387745
452.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
928576
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314437
368.3 IPS |
|
|
Object Detection (SP)
|
100% |
21390
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
26901
2.13 KIPS |
|
|
Object Detection (Q)
|
84% |
17823
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
67778
805.3 IPS |
|
|
Face Detection (HP)
|
100% |
83434
991.4 IPS |
|
|
Face Detection (Q)
|
97% |
57059
680.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
107947
831.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
175696
1.35 KIPS |
|
|
Depth Estimation (Q)
|
77% |
84617
677.7 IPS |
|
|
Style Transfer (SP)
|
100% |
574167
738.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1591055
2.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
515187
664.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65624
2.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86976
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46682
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2141
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
6186
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6339
109.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2900
54.4 IPS |
