iMac (27-inch Retina Mid 2020)
Geekbench AI Score
994
Single Precision Score
713
Half Precision Score
494
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | chrisbench01 |
| Upload Date | December 14 2024 06:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10600 |
| 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% |
503
93.5 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
96% |
199
37.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
296
4.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2988
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
878
1.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
786
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.2 IPS |
|
|
Object Detection (Q)
|
92% |
230
18.4 IPS |
|
|
Face Detection (SP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.23 IPS |
|
|
Face Detection (Q)
|
100% |
349
4.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
1605
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1196
9.21 IPS |
|
|
Depth Estimation (Q)
|
85% |
753
5.89 IPS |
|
|
Style Transfer (SP)
|
100% |
4623
5.94 IPS |
|
|
Style Transfer (HP)
|
100% |
3090
3.97 IPS |
|
|
Style Transfer (Q)
|
96% |
2440
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
697
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
415
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
500
667.0 IPS |
|
|
Text Classification (HP)
|
100% |
494
659.7 IPS |
|
|
Text Classification (Q)
|
93% |
492
660.2 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
625
10.8 IPS |
