iMac (27-inch Retina Mid 2020)
Geekbench AI Score
979
Single Precision Score
826
Half Precision Score
635
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | SistoZan |
| Upload Date | August 16 2024 07:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10500 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (27-inch Retina Mid 2020) |
| Model ID | iMac20,1 |
| Motherboard | Apple Inc. Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
469
87.3 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.2 IPS |
|
|
Image Classification (Q)
|
99% |
328
61.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
100% |
292
4.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
3317
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2184
2.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
1591
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
92% |
216
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
948
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.43 IPS |
|
|
Face Detection (Q)
|
100% |
341
4.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
1525
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1168
9.00 IPS |
|
|
Depth Estimation (Q)
|
97% |
1244
9.62 IPS |
|
|
Style Transfer (SP)
|
100% |
4724
6.07 IPS |
|
|
Style Transfer (HP)
|
100% |
4158
5.34 IPS |
|
|
Style Transfer (Q)
|
100% |
4163
5.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
592
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.6 IPS |
|
|
Text Classification (HP)
|
100% |
481
642.4 IPS |
|
|
Text Classification (Q)
|
93% |
480
644.2 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
649
11.2 IPS |
