iMac (27-inch Retina Mid 2020)
Geekbench AI Score
959
Single Precision Score
707
Half Precision Score
576
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | daveyappleseed |
| Upload Date | November 26 2024 05:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10600 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
514
95.5 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (Q)
|
100% |
439
7.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
2875
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
760
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
92% |
228
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (Q)
|
100% |
345
4.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
1446
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1191
9.17 IPS |
|
|
Depth Estimation (Q)
|
97% |
1167
9.03 IPS |
|
|
Style Transfer (SP)
|
100% |
3615
4.65 IPS |
|
|
Style Transfer (HP)
|
100% |
3096
3.98 IPS |
|
|
Style Transfer (Q)
|
100% |
3091
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
412
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.3 IPS |
|
|
Text Classification (HP)
|
100% |
466
622.0 IPS |
|
|
Text Classification (Q)
|
93% |
463
621.4 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
618
10.7 IPS |
