iMac (27-inch Retina Early 2019)
Geekbench AI Score
1006
Single Precision Score
851
Half Precision Score
659
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | marauder |
| Upload Date | August 16 2024 06:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| 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 i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
513
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (Q)
|
100% |
318
5.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2305
2.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
1729
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (Q)
|
92% |
240
19.1 IPS |
|
|
Face Detection (SP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
845
10.0 IPS |
|
|
Face Detection (Q)
|
100% |
366
4.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
1442
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1156
8.91 IPS |
|
|
Depth Estimation (Q)
|
97% |
1114
8.61 IPS |
|
|
Style Transfer (SP)
|
100% |
4910
6.31 IPS |
|
|
Style Transfer (HP)
|
100% |
4784
6.15 IPS |
|
|
Style Transfer (Q)
|
100% |
4765
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1245
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.0 IPS |
|
|
Text Classification (HP)
|
100% |
499
666.6 IPS |
|
|
Text Classification (Q)
|
93% |
493
662.1 IPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
619
10.7 IPS |
