Razer Blade 15 (2022) - RZ09-0421
Geekbench AI Score
2590
Single Precision Score
2584
Half Precision Score
6234
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:55 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Razer Blade 15 (2022) - RZ09-0421 |
| Motherboard | Razer CH580 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1051
195.5 IPS |
|
|
Image Classification (HP)
|
100% |
1043
194.1 IPS |
|
|
Image Classification (Q)
|
100% |
4144
770.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3965
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3634
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3567
4.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
13542
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (HP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (Q)
|
88% |
2828
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (Q)
|
100% |
7788
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4826
37.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
4768
36.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
11871
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11161
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11043
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39594
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2160
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4148
153.6 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2953
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2661
45.8 IPS |
|
|
Machine Translation (Q)
|
85% |
3143
55.0 IPS |
