Apple Inc. Macmini8,1
Geekbench AI Score
978
Single Precision Score
1131
Half Precision Score
786
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:49 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700B |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
100% |
378
70.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
541
8.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2509
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3987
4.65 IPS |
|
|
Pose Estimation (Q)
|
97% |
2300
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
98% |
487
38.8 IPS |
|
|
Object Detection (Q)
|
89% |
441
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
864
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
721
8.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1795
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2195
17.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
1545
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6409
8.24 IPS |
|
|
Style Transfer (HP)
|
100% |
9530
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5587
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
997
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
472
629.7 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.6 IPS |
|
|
Text Classification (Q)
|
97% |
295
395.6 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
60% |
239
5.32 IPS |
