Mac mini (Late 2018)
Geekbench AI Score
954
Single Precision Score
694
Half Precision Score
481
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Birkin |
| Upload Date | September 15 2024 07:53 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8700B |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
473
88.0 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
96% |
191
35.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
294
4.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
2868
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
813
0.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
754
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
92% |
226
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (Q)
|
100% |
354
4.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
1394
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1168
9.00 IPS |
|
|
Depth Estimation (Q)
|
85% |
734
5.74 IPS |
|
|
Style Transfer (SP)
|
100% |
3797
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3013
3.87 IPS |
|
|
Style Transfer (Q)
|
96% |
2383
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
661
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
407
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.1 IPS |
|
|
Text Classification (HP)
|
100% |
466
622.4 IPS |
|
|
Text Classification (Q)
|
93% |
465
623.9 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
595
10.3 IPS |
