Apple Inc. Macmini8,1
Geekbench AI Score
1035
Single Precision Score
1202
Half Precision Score
847
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | maf654321 |
| Upload Date | April 28 2025 04:31 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| Power Plan | Parallels |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
431
80.1 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
100% |
442
82.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
547
8.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
2484
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3951
4.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
2276
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
98% |
532
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
481
38.7 IPS |
|
|
Face Detection (SP)
|
100% |
1014
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
895
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1866
14.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2306
17.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1611
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6350
8.16 IPS |
|
|
Style Transfer (HP)
|
100% |
9519
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5510
7.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
989
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
515
687.0 IPS |
|
|
Text Classification (HP)
|
100% |
332
442.7 IPS |
|
|
Text Classification (Q)
|
97% |
309
413.8 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (HP)
|
100% |
522
9.00 IPS |
|
|
Machine Translation (Q)
|
70% |
297
5.58 IPS |
