iMac (27-inch Retina Early 2019)
Geekbench AI Score
996
Single Precision Score
125
Half Precision Score
100
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Lingyis |
| Upload Date | November 24 2025 03:13 PM |
| Views | 5 |
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 | 64.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2747
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
914
1.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
813
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (Q)
|
100% |
375
4.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
1543
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1347
10.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
839
6.56 IPS |
|
|
Style Transfer (SP)
|
100% |
4131
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3683
4.74 IPS |
|
|
Style Transfer (Q)
|
96% |
2773
3.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
458
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.4 IPS |
|
|
Text Classification (HP)
|
100% |
522
696.5 IPS |
|
|
Text Classification (Q)
|
93% |
518
694.9 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
642
11.1 IPS |
