Mac mini (Late 2018)
Geekbench AI Score
2151
Single Precision Score
2338
Half Precision Score
451
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | gundar |
| Upload Date | September 10 2024 02:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (Late 2018) |
| Model ID | Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C Macmini8,1 |
| 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 |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
179
2.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
3795
4.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
6781
7.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
1808
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
553
43.9 IPS |
|
|
Object Detection (Q)
|
94% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1612
19.1 IPS |
|
|
Face Detection (Q)
|
100% |
246
2.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
23692
182.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29898
230.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
125689
161.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121957
156.8 IPS |
|
|
Style Transfer (Q)
|
96% |
149300
192.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9029
333.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15596
575.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14040
518.4 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.6 IPS |
|
|
Text Classification (HP)
|
100% |
464
619.4 IPS |
|
|
Text Classification (Q)
|
93% |
375
502.6 IPS |
|
|
Machine Translation (SP)
|
100% |
404
6.95 IPS |
|
|
Machine Translation (HP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (Q)
|
98% |
259
4.48 IPS |
