Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
28046
Single Precision Score
40452
Half Precision Score
22389
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gbench |
| Upload Date | December 20 2024 02:01 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| 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) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11370
2.11 KIPS |
|
|
Image Classification (HP)
|
99% |
15504
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
9900
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15586
252.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18563
300.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15072
245.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
221166
258.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
443397
517.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
199373
233.6 IPS |
|
|
Object Detection (SP)
|
100% |
13568
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
18228
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
11969
962.8 IPS |
|
|
Face Detection (SP)
|
100% |
36824
437.5 IPS |
|
|
Face Detection (HP)
|
100% |
46183
548.8 IPS |
|
|
Face Detection (Q)
|
97% |
32278
384.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
71269
549.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
136093
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56516
451.3 IPS |
|
|
Style Transfer (SP)
|
100% |
348971
448.6 IPS |
|
|
Style Transfer (HP)
|
100% |
760744
977.9 IPS |
|
|
Style Transfer (Q)
|
98% |
309315
398.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48151
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64299
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36914
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3158
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1990
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4066
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2145
40.2 IPS |
