iMac (27-inch Retina Early 2019)
Geekbench AI Score
970
Single Precision Score
740
Half Precision Score
509
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | sw0000 |
| Upload Date | February 09 2025 08:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
501
93.2 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
96% |
206
38.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
315
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
758
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
92% |
239
19.1 IPS |
|
|
Face Detection (SP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.5 IPS |
|
|
Face Detection (Q)
|
100% |
377
4.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
1427
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1214
9.35 IPS |
|
|
Depth Estimation (Q)
|
85% |
794
6.21 IPS |
|
|
Style Transfer (SP)
|
100% |
3815
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3407
4.38 IPS |
|
|
Style Transfer (Q)
|
96% |
2568
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
438
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
507
677.4 IPS |
|
|
Text Classification (HP)
|
100% |
494
659.4 IPS |
|
|
Text Classification (Q)
|
93% |
491
659.5 IPS |
|
|
Machine Translation (SP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
610
10.5 IPS |
