iMac (27-inch Retina Early 2019)
Geekbench AI Score
1024
Single Precision Score
860
Half Precision Score
673
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Tom01 |
| Upload Date | August 18 2024 01:57 PM |
| 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 | Acidanthera 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 | 32.00 GB |
| Transfer Rate | 4000 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
534
99.2 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.1 IPS |
|
|
Image Classification (Q)
|
99% |
385
71.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (Q)
|
100% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
3115
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2746
3.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
1928
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
92% |
244
19.5 IPS |
|
|
Face Detection (SP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
893
10.6 IPS |
|
|
Face Detection (Q)
|
100% |
377
4.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
1576
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.77 IPS |
|
|
Depth Estimation (Q)
|
97% |
1121
8.67 IPS |
|
|
Style Transfer (SP)
|
100% |
4306
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
4695
6.04 IPS |
|
|
Style Transfer (Q)
|
100% |
4681
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
458
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.2 IPS |
|
|
Text Classification (HP)
|
100% |
506
675.4 IPS |
|
|
Text Classification (Q)
|
93% |
499
670.4 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
685
11.8 IPS |
