Mac mini (Late 2018)
Geekbench AI Score
2102
Single Precision Score
2287
Half Precision Score
1440
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | kdw4gb |
| Upload Date | August 24 2024 08:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6800 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (Q)
|
99% |
490
91.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (Q)
|
100% |
268
4.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
3570
4.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
6072
7.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
1789
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (Q)
|
94% |
137
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
100% |
249
2.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
26590
204.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
29526
227.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
29660
229.3 IPS |
|
|
Style Transfer (SP)
|
100% |
123282
158.5 IPS |
|
|
Style Transfer (HP)
|
100% |
119494
153.6 IPS |
|
|
Style Transfer (Q)
|
100% |
117877
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8570
316.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15690
579.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13722
508.4 IPS |
|
|
Text Classification (SP)
|
100% |
456
608.6 IPS |
|
|
Text Classification (HP)
|
100% |
471
629.1 IPS |
|
|
Text Classification (Q)
|
93% |
380
509.9 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (Q)
|
98% |
264
4.56 IPS |
