Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
28096
Single Precision Score
47902
Half Precision Score
21583
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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% |
11640
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
20278
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
10380
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18134
294.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22975
372.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15617
253.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
164660
192.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
459733
536.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
137167
160.7 IPS |
|
|
Object Detection (SP)
|
100% |
15110
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
25204
2.00 KIPS |
|
|
Object Detection (Q)
|
83% |
12629
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
37548
446.1 IPS |
|
|
Face Detection (HP)
|
100% |
52638
625.5 IPS |
|
|
Face Detection (Q)
|
97% |
32414
386.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
68880
530.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
129394
996.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
54326
433.6 IPS |
|
|
Style Transfer (SP)
|
100% |
237472
305.3 IPS |
|
|
Style Transfer (HP)
|
100% |
798017
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
199597
257.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42702
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79929
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33219
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4217
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5050
6.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2512
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5278
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5372
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2664
50.0 IPS |
