iMac (27-inch Retina Mid 2020)
Geekbench AI Score
657
Single Precision Score
644
Half Precision Score
360
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | pheonix74 |
| Upload Date | April 12 2025 03:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) KBL Unknown |
| 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% |
505
93.9 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
96% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
99% |
147
2.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
3437
4.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
6212
7.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
1492
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
94% |
156
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (Q)
|
100% |
221
2.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
698
5.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
671
5.17 IPS |
|
|
Depth Estimation (Q)
|
85% |
647
5.06 IPS |
|
|
Style Transfer (SP)
|
100% |
1301
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1256
1.61 IPS |
|
|
Style Transfer (Q)
|
96% |
1219
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
312
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.4 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.2 IPS |
|
|
Text Classification (Q)
|
93% |
283
380.3 IPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.72 IPS |
