iMac (27-inch Retina Early 2019)
Geekbench AI Score
881
Single Precision Score
656
Half Precision Score
455
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | November 10 2024 09:30 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
480
89.2 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
96% |
194
36.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.72 IPS |
|
|
Image Segmentation (Q)
|
99% |
272
4.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
804
0.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
722
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
92% |
214
17.1 IPS |
|
|
Face Detection (SP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
774
9.19 IPS |
|
|
Face Detection (Q)
|
100% |
338
4.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
1364
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1136
8.75 IPS |
|
|
Depth Estimation (Q)
|
85% |
737
5.76 IPS |
|
|
Style Transfer (SP)
|
100% |
3574
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2864
3.68 IPS |
|
|
Style Transfer (Q)
|
96% |
2221
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
393
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
454
605.8 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.2 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.8 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
98% |
473
8.18 IPS |
