Micro-Star International Co., Ltd. Pulse GL76 12UEK
Geekbench AI Score
2410
Single Precision Score
2469
Half Precision Score
1539
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | January 29 2025 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Pulse GL76 12UEK |
| Motherboard | Micro-Star International Co., Ltd. MS-17L3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1044
194.1 IPS |
|
|
Image Classification (HP)
|
100% |
1081
201.1 IPS |
|
|
Image Classification (Q)
|
100% |
856
159.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1109
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8083
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
9353
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
4849
5.68 IPS |
|
|
Object Detection (SP)
|
100% |
1158
91.9 IPS |
|
|
Object Detection (HP)
|
98% |
1037
82.5 IPS |
|
|
Object Detection (Q)
|
86% |
969
77.9 IPS |
|
|
Face Detection (SP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2746
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
1658
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4793
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5224
40.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3360
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19508
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24419
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
12773
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1255
46.5 IPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
418
557.4 IPS |
|
|
Text Classification (Q)
|
97% |
446
597.2 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
70% |
421
7.90 IPS |
