iMac (27-inch Retina Mid 2020)
Geekbench AI Score
895
Single Precision Score
678
Half Precision Score
562
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | daveyappleseed |
| Upload Date | January 23 2025 05:50 AM |
| Views | 13 |
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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
495
92.0 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (Q)
|
100% |
416
6.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
2681
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
683
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
92% |
227
18.1 IPS |
|
|
Face Detection (SP)
|
100% |
948
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.46 IPS |
|
|
Face Detection (Q)
|
100% |
341
4.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
1329
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1143
8.81 IPS |
|
|
Depth Estimation (Q)
|
97% |
1205
9.32 IPS |
|
|
Style Transfer (SP)
|
100% |
3495
4.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2951
3.79 IPS |
|
|
Style Transfer (Q)
|
100% |
2829
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
609
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
407
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.0 IPS |
|
|
Text Classification (HP)
|
100% |
466
622.3 IPS |
|
|
Text Classification (Q)
|
93% |
468
628.6 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
610
10.5 IPS |
