Micro-Star International Co., Ltd. MS-7D94
Geekbench AI Score
22314
Single Precision Score
29728
Half Precision Score
18021
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D94 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING WIFI (MS-7D94) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8842
1.64 KIPS |
|
|
Image Classification (HP)
|
99% |
11373
2.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7991
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9126
147.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10114
163.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8738
142.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
217373
253.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
361830
422.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
190158
222.8 IPS |
|
|
Object Detection (SP)
|
100% |
9798
777.2 IPS |
|
|
Object Detection (HP)
|
100% |
12002
952.0 IPS |
|
|
Object Detection (Q)
|
85% |
8511
684.6 IPS |
|
|
Face Detection (SP)
|
100% |
24495
291.1 IPS |
|
|
Face Detection (HP)
|
100% |
27469
326.4 IPS |
|
|
Face Detection (Q)
|
97% |
21494
256.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
61646
474.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110758
855.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
50502
403.3 IPS |
|
|
Style Transfer (SP)
|
100% |
308884
397.1 IPS |
|
|
Style Transfer (HP)
|
100% |
585287
752.4 IPS |
|
|
Style Transfer (Q)
|
98% |
278446
359.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42379
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54300
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33010
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3787
5.05 KIPS |
|
|
Text Classification (HP)
|
99% |
4858
6.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2177
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1472
27.6 IPS |
