iMac20,1
Geekbench AI Score
3225
Single Precision Score
3395
Half Precision Score
1031
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | MaigerTiger284 |
| Upload Date | December 20 2024 02:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 570 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMac20,1 |
| Model ID | iMac20,1 |
| Motherboard | Acidanthera Mac-CFF7D910A743CAAF iMac20,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
2752
511.8 IPS |
|
|
Image Classification (Q)
|
96% |
143
26.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
250
4.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
16589
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17349
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2683
3.14 IPS |
|
|
Object Detection (SP)
|
100% |
2420
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
2524
200.2 IPS |
|
|
Object Detection (Q)
|
92% |
117
9.30 IPS |
|
|
Face Detection (SP)
|
100% |
7864
93.4 IPS |
|
|
Face Detection (HP)
|
100% |
7770
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
257
3.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
10549
81.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11003
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10247
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32350
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34178
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
41324
53.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6501
240.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6117
225.9 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.2 IPS |
|
|
Text Classification (HP)
|
100% |
490
654.4 IPS |
|
|
Text Classification (Q)
|
93% |
451
604.9 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.74 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
98% |
405
7.01 IPS |
