Mac mini (Late 2018)
Geekbench AI Score
1863
Single Precision Score
2040
Half Precision Score
1042
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | edsinsi |
| Upload Date | December 07 2024 05:19 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600 XT |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
533
99.2 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.4 IPS |
|
|
Image Classification (Q)
|
96% |
142
26.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
122
1.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
3224
3.76 IPS |
|
|
Pose Estimation (HP)
|
99% |
5721
6.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1599
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
94% |
130
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (Q)
|
100% |
175
2.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
21062
162.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22777
175.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
21506
168.0 IPS |
|
|
Style Transfer (SP)
|
100% |
66349
85.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67104
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
82355
106.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6574
242.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12025
444.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11391
420.6 IPS |
|
|
Text Classification (SP)
|
100% |
415
554.5 IPS |
|
|
Text Classification (HP)
|
100% |
378
505.1 IPS |
|
|
Text Classification (Q)
|
93% |
326
438.1 IPS |
|
|
Machine Translation (SP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.69 IPS |
|
|
Machine Translation (Q)
|
98% |
365
6.31 IPS |
