Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
25177
Single Precision Score
37129
Half Precision Score
15218
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 07:40 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-7E34 |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9556
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
12700
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
6420
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18127
293.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25841
418.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12700
206.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
169519
197.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
359344
419.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
127252
149.1 IPS |
|
|
Object Detection (SP)
|
100% |
12367
980.9 IPS |
|
|
Object Detection (HP)
|
100% |
17148
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
8315
668.9 IPS |
|
|
Face Detection (SP)
|
100% |
35178
418.0 IPS |
|
|
Face Detection (HP)
|
100% |
49461
587.7 IPS |
|
|
Face Detection (Q)
|
97% |
22809
272.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
63495
489.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
102969
793.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
37941
303.8 IPS |
|
|
Style Transfer (SP)
|
100% |
263348
338.5 IPS |
|
|
Style Transfer (HP)
|
100% |
608256
781.9 IPS |
|
|
Style Transfer (Q)
|
98% |
189482
244.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37885
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52129
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21285
788.2 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
3356
4.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1387
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4660
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4544
78.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1596
29.9 IPS |
