iMac (27-inch Retina Early 2019)
Geekbench AI Score
1046
Single Precision Score
129
Half Precision Score
102
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | kazukied2 |
| Upload Date | January 01 2026 08:03 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
535
99.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
981
1.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
874
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (Q)
|
100% |
388
4.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1562
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1401
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
846
6.62 IPS |
|
|
Style Transfer (SP)
|
100% |
4248
5.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3898
5.01 IPS |
|
|
Style Transfer (Q)
|
96% |
2913
3.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1732
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
518
691.7 IPS |
|
|
Text Classification (HP)
|
100% |
524
699.1 IPS |
|
|
Text Classification (Q)
|
93% |
523
701.9 IPS |
|
|
Machine Translation (SP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
98% |
643
11.1 IPS |
