Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
21191
Single Precision Score
34226
Half Precision Score
16686
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | January 09 2025 03:04 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9237
1.72 KIPS |
|
|
Image Classification (HP)
|
99% |
14199
2.65 KIPS |
|
|
Image Classification (Q)
|
99% |
8271
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13412
217.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17000
275.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12276
199.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
117487
137.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
345807
403.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
103528
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
10294
816.5 IPS |
|
|
Object Detection (HP)
|
100% |
16790
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
9138
735.6 IPS |
|
|
Face Detection (SP)
|
100% |
25393
301.7 IPS |
|
|
Face Detection (HP)
|
100% |
37616
447.0 IPS |
|
|
Face Detection (Q)
|
97% |
22587
269.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
49637
382.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93252
718.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
40561
324.8 IPS |
|
|
Style Transfer (SP)
|
100% |
204882
263.4 IPS |
|
|
Style Transfer (HP)
|
100% |
478957
615.7 IPS |
|
|
Style Transfer (Q)
|
98% |
184235
237.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34062
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52401
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25418
941.2 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4444
5.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2085
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4023
69.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1948
36.5 IPS |
