Micro-Star International Co., Ltd. MS-7C67
Geekbench AI Score
7090
Single Precision Score
5418
Half Precision Score
5314
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | July 21 2025 06:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C67 |
| Motherboard | Micro-Star International Co., Ltd. MAG B365M MORTAR(MS-7C67) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700F |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2924
543.8 IPS |
|
|
Image Classification (HP)
|
100% |
2667
496.0 IPS |
|
|
Image Classification (Q)
|
99% |
2585
482.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5034
81.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3940
63.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4204
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
25229
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15393
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
22783
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
3499
277.5 IPS |
|
|
Object Detection (HP)
|
100% |
3130
248.3 IPS |
|
|
Object Detection (Q)
|
83% |
3029
244.7 IPS |
|
|
Face Detection (SP)
|
100% |
8037
95.5 IPS |
|
|
Face Detection (HP)
|
100% |
6464
76.8 IPS |
|
|
Face Detection (Q)
|
97% |
6929
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16575
127.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11743
90.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12778
102.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44150
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31114
40.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39481
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10194
376.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7655
282.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6841
253.3 IPS |
|
|
Text Classification (SP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
881
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2457
42.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2548
44.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1137
21.3 IPS |
