BIOSTAR Group B760MX2-E
Geekbench AI Score
26348
Single Precision Score
36974
Half Precision Score
20969
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 03:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B760MX2-E |
| Motherboard | BIOSTAR Group B760MX2-E |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10863
2.02 KIPS |
|
|
Image Classification (HP)
|
99% |
14559
2.72 KIPS |
|
|
Image Classification (Q)
|
100% |
9675
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13758
223.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16407
266.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12909
209.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
182143
212.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
415898
485.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
163574
191.7 IPS |
|
|
Object Detection (SP)
|
100% |
12293
975.1 IPS |
|
|
Object Detection (HP)
|
100% |
16549
1.31 KIPS |
|
|
Object Detection (Q)
|
85% |
10802
868.9 IPS |
|
|
Face Detection (SP)
|
100% |
32887
390.8 IPS |
|
|
Face Detection (HP)
|
100% |
40019
475.5 IPS |
|
|
Face Detection (Q)
|
97% |
28806
343.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
73531
566.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
116397
899.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
57619
460.7 IPS |
|
|
Style Transfer (SP)
|
100% |
322414
414.5 IPS |
|
|
Style Transfer (HP)
|
100% |
674738
867.4 IPS |
|
|
Style Transfer (Q)
|
98% |
286086
368.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46282
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56979
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34216
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4441
5.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2171
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3652
62.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2112
39.6 IPS |
