Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
6575
Single Precision Score
3874
Half Precision Score
15467
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | January 10 2025 11:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4400
818.3 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.8 IPS |
|
|
Image Classification (Q)
|
100% |
9879
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5177
83.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10699
173.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8367
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5520
6.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
31890
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
4005
317.7 IPS |
|
|
Object Detection (HP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (Q)
|
88% |
10680
856.1 IPS |
|
|
Face Detection (SP)
|
100% |
12539
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
5858
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
27821
330.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10691
82.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6257
48.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
30540
237.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25406
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16193
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
91224
117.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5195
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3594
132.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17222
637.8 IPS |
|
|
Text Classification (SP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (Q)
|
92% |
6159
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2648
45.6 IPS |
