iMac (27-inch Retina Early 2019)
Geekbench AI Score
769
Single Precision Score
106
Half Precision Score
86
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | October 11 2025 10:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G313) |
| 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% |
446
83.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1893
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
782
0.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
690
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (HP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (Q)
|
100% |
292
3.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
1206
9.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.63 IPS |
|
|
Depth Estimation (Q)
|
85% |
687
5.37 IPS |
|
|
Style Transfer (SP)
|
100% |
2945
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2766
3.56 IPS |
|
|
Style Transfer (Q)
|
96% |
2239
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
621
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
366
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
445
593.5 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.8 IPS |
|
|
Text Classification (Q)
|
93% |
427
572.8 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.12 IPS |
|
|
Machine Translation (Q)
|
98% |
495
8.56 IPS |
