iMac (27-inch Retina Early 2019)
Geekbench AI Score
1146
Single Precision Score
850
Half Precision Score
681
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Tom01 |
| Upload Date | July 12 2025 01:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
587
109.2 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
99% |
432
80.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (Q)
|
100% |
523
8.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
3438
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
894
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
92% |
265
21.1 IPS |
|
|
Face Detection (SP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (Q)
|
100% |
411
4.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
1706
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1476
11.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1466
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4475
5.75 IPS |
|
|
Style Transfer (HP)
|
100% |
3929
5.05 IPS |
|
|
Style Transfer (Q)
|
100% |
3916
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
838
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
482
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
519
693.2 IPS |
|
|
Text Classification (HP)
|
100% |
504
672.7 IPS |
|
|
Text Classification (Q)
|
93% |
509
683.4 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
98% |
697
12.0 IPS |
