iMac (27-inch Retina Mid 2020)
Geekbench AI Score
4447
Single Precision Score
4529
Half Precision Score
1318
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | chrisbench01 |
| Upload Date | December 14 2024 06:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMac (27-inch Retina Mid 2020) |
| Model ID | iMac20,1 |
| Motherboard | Apple Inc. Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (HP)
|
100% |
3440
639.8 IPS |
|
|
Image Classification (Q)
|
96% |
155
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
491
7.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
249
4.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
20753
24.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19639
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2886
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
3219
255.3 IPS |
|
|
Object Detection (HP)
|
100% |
3301
261.8 IPS |
|
|
Object Detection (Q)
|
92% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
11131
132.3 IPS |
|
|
Face Detection (HP)
|
100% |
11938
141.8 IPS |
|
|
Face Detection (Q)
|
100% |
261
3.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
15832
122.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16312
125.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
15553
121.4 IPS |
|
|
Style Transfer (SP)
|
100% |
41074
52.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41822
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
59062
76.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7261
268.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9012
332.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8095
298.9 IPS |
|
|
Text Classification (SP)
|
100% |
510
680.4 IPS |
|
|
Text Classification (HP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
93% |
666
894.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
98% |
595
10.3 IPS |
