Mac mini (Late 2018)
Geekbench AI Score
834
Single Precision Score
689
Half Precision Score
552
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Nikki |
| Upload Date | August 17 2024 04:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| 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% |
415
77.2 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
99% |
298
55.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (Q)
|
100% |
280
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2636
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1947
2.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
1505
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
92% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
810
9.63 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (Q)
|
100% |
323
3.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
1301
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1047
8.07 IPS |
|
|
Depth Estimation (Q)
|
97% |
912
7.05 IPS |
|
|
Style Transfer (SP)
|
100% |
3531
4.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3431
4.41 IPS |
|
|
Style Transfer (Q)
|
100% |
3426
4.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
392
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
484
645.9 IPS |
|
|
Text Classification (HP)
|
100% |
472
630.3 IPS |
|
|
Text Classification (Q)
|
93% |
469
629.3 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.35 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (Q)
|
98% |
562
9.71 IPS |
