Gigabyte Technology Co., Ltd. B660M AORUS ELITE DDR4
Geekbench AI Score
29424
Single Precision Score
45332
Half Precision Score
22740
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 03:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M AORUS ELITE DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11161
2.08 KIPS |
|
|
Image Classification (HP)
|
99% |
18230
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
9579
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21602
350.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28153
456.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19602
318.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
169241
197.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
407717
475.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
155243
181.9 IPS |
|
|
Object Detection (SP)
|
100% |
13100
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
21541
1.71 KIPS |
|
|
Object Detection (Q)
|
85% |
11373
915.6 IPS |
|
|
Face Detection (SP)
|
100% |
38936
462.6 IPS |
|
|
Face Detection (HP)
|
100% |
55525
659.8 IPS |
|
|
Face Detection (Q)
|
97% |
34825
415.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
75226
579.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
120354
929.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
56632
452.8 IPS |
|
|
Style Transfer (SP)
|
100% |
301436
387.5 IPS |
|
|
Style Transfer (HP)
|
100% |
744144
956.6 IPS |
|
|
Style Transfer (Q)
|
98% |
273540
352.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49016
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64390
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34159
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4660
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2266
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5476
94.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5449
93.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2672
50.1 IPS |
