Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
36924
Single Precision Score
43552
Half Precision Score
29715
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 CARBON WIFI (MS-7E17) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
16069
2.99 KIPS |
|
|
Image Classification (HP)
|
100% |
16385
3.05 KIPS |
|
|
Image Classification (Q)
|
99% |
13694
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26003
421.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23532
381.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23609
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
284662
332.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
504500
588.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
249757
292.6 IPS |
|
|
Object Detection (SP)
|
100% |
17929
1.42 KIPS |
|
|
Object Detection (HP)
|
99% |
19330
1.53 KIPS |
|
|
Object Detection (Q)
|
87% |
15864
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
49467
587.8 IPS |
|
|
Face Detection (HP)
|
100% |
54635
649.2 IPS |
|
|
Face Detection (Q)
|
97% |
43752
521.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
78057
601.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100175
771.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
63348
507.7 IPS |
|
|
Style Transfer (SP)
|
100% |
451060
579.8 IPS |
|
|
Style Transfer (HP)
|
100% |
693624
891.7 IPS |
|
|
Style Transfer (Q)
|
98% |
401347
517.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50458
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65247
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40122
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4647
6.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
97% |
3004
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5410
93.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5571
96.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3126
58.6 IPS |
