Razer Blade 15 (2022) - RZ09-0421
Geekbench AI Score
4282
Single Precision Score
5624
Half Precision Score
8433
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:59 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2459
457.3 IPS |
|
|
Image Classification (HP)
|
100% |
3597
668.9 IPS |
|
|
Image Classification (Q)
|
99% |
4852
905.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4133
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6469
104.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8824
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10281
12.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
7927
9.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
32546
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
3263
258.8 IPS |
|
|
Object Detection (Q)
|
90% |
4797
383.5 IPS |
|
|
Face Detection (SP)
|
100% |
6888
81.8 IPS |
|
|
Face Detection (HP)
|
100% |
10642
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
14614
173.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9470
73.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14272
110.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
19595
155.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27013
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39649
51.0 IPS |
|
|
Style Transfer (Q)
|
98% |
70588
91.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4233
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6302
232.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11458
424.3 IPS |
|
|
Text Classification (SP)
|
71% |
960
1.39 KIPS |
|
|
Text Classification (HP)
|
71% |
1072
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
940
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
89% |
1250
21.7 IPS |
