Apple Inc. Macmini6,2
Geekbench AI Score
20
Single Precision Score
20
Half Precision Score
15
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| Upload Date | April 28 2025 03:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-3615QM |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Apple Inc. Macmini6,2 |
| Motherboard | Apple Inc. Mac-F65AE981FFA204ED |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3615QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13
2.49 IPS |
|
|
Image Classification (HP)
|
100% |
13
2.49 IPS |
|
|
Image Classification (Q)
|
97% |
10
1.94 IPS |
|
|
Image Segmentation (SP)
|
100% |
18
0.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
18
0.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
14
0.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
17
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
16
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
13
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
11
0.86 IPS |
|
|
Object Detection (HP)
|
100% |
11
0.86 IPS |
|
|
Object Detection (Q)
|
87% |
9
0.68 IPS |
|
|
Face Detection (SP)
|
100% |
41
0.49 IPS |
|
|
Face Detection (HP)
|
100% |
41
0.49 IPS |
|
|
Face Detection (Q)
|
97% |
29
0.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
26
0.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
26
0.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
17
0.16 IPS |
|
|
Style Transfer (SP)
|
100% |
54
0.07 IPS |
|
|
Style Transfer (HP)
|
100% |
52
0.07 IPS |
|
|
Style Transfer (Q)
|
98% |
41
0.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12
0.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12
0.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
9
0.32 IPS |
|
|
Text Classification (SP)
|
100% |
18
23.4 IPS |
|
|
Text Classification (HP)
|
100% |
18
23.4 IPS |
|
|
Text Classification (Q)
|
91% |
13
17.4 IPS |
|
|
Machine Translation (SP)
|
100% |
29
0.50 IPS |
|
|
Machine Translation (HP)
|
100% |
28
0.49 IPS |
|
|
Machine Translation (Q)
|
58% |
15
0.35 IPS |
