Gigabyte Technology Co., Ltd. B760 GAMING X AX
Geekbench AI Score
5866
Single Precision Score
5991
Half Precision Score
13050
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | alexvb |
| Upload Date | October 01 2025 09:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700E |
| System Information | |
|---|---|
| Operating System | Windows 11 Home Single Language (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760 GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760 GAMING X AX |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700E |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3776
702.3 IPS |
|
|
Image Classification (HP)
|
100% |
3849
715.8 IPS |
|
|
Image Classification (Q)
|
100% |
8294
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3873
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4769
77.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8805
142.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7216
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
7233
8.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
25099
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3552
281.7 IPS |
|
|
Object Detection (HP)
|
100% |
3513
278.6 IPS |
|
|
Object Detection (Q)
|
88% |
8527
683.5 IPS |
|
|
Face Detection (SP)
|
100% |
10103
120.0 IPS |
|
|
Face Detection (HP)
|
100% |
10074
119.7 IPS |
|
|
Face Detection (Q)
|
100% |
20136
239.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9189
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9188
70.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
22263
173.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21668
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21865
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
73436
94.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4433
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4401
162.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13770
510.0 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (Q)
|
92% |
4622
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4375
75.4 IPS |
