iMac (27-inch Retina Mid 2020)
Geekbench AI Score
964
Single Precision Score
115
Half Precision Score
93
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | pheonix74 |
| Upload Date | April 12 2025 02:43 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10500 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | iMac (27-inch Retina Mid 2020) |
| Model ID | iMac20,1 |
| Motherboard | LENOVO 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 | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3160
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
758
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (Q)
|
100% |
326
3.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
1522
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1141
8.79 IPS |
|
|
Depth Estimation (Q)
|
85% |
719
5.62 IPS |
|
|
Style Transfer (SP)
|
100% |
4571
5.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3074
3.95 IPS |
|
|
Style Transfer (Q)
|
96% |
2384
3.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
393
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.3 IPS |
|
|
Text Classification (HP)
|
100% |
478
637.9 IPS |
|
|
Text Classification (Q)
|
93% |
479
642.7 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
620
10.7 IPS |
