Thirdwave Corporation R6-MT
Geekbench AI Score
2442
Single Precision Score
2466
Half Precision Score
6500
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 05:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Thirdwave Corporation R6-MT |
| Motherboard | CLEVO V5xxTNx |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1578
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
1609
299.3 IPS |
|
|
Image Classification (Q)
|
100% |
4377
814.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4219
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3800
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
13201
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (Q)
|
88% |
3640
291.8 IPS |
|
|
Face Detection (SP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
9847
117.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3950
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4329
33.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11070
86.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10363
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10587
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40205
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1786
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6366
235.7 IPS |
|
|
Text Classification (SP)
|
100% |
651
868.6 IPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2750
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1814
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1980
34.1 IPS |
