iMac (27-inch Retina Early 2019)
Geekbench AI Score
897
Single Precision Score
744
Half Precision Score
521
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | September 07 2024 07:57 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (Q)
|
96% |
186
34.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
259
4.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
2856
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2354
2.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
1774
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
92% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
742
8.81 IPS |
|
|
Face Detection (Q)
|
100% |
337
4.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
1409
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1108
8.54 IPS |
|
|
Depth Estimation (Q)
|
86% |
711
5.56 IPS |
|
|
Style Transfer (SP)
|
100% |
3716
4.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3608
4.64 IPS |
|
|
Style Transfer (Q)
|
96% |
2726
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1477
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
704
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.0 IPS |
|
|
Text Classification (HP)
|
100% |
485
647.5 IPS |
|
|
Text Classification (Q)
|
93% |
481
645.2 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.67 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
612
10.6 IPS |
