iMac (27-inch Retina Early 2019)
Geekbench AI Score
1039
Single Precision Score
128
Half Precision Score
102
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 11 2025 07:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G407) |
| 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 |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2969
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
908
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
834
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (Q)
|
100% |
391
4.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
1635
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1390
10.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
851
6.66 IPS |
|
|
Style Transfer (SP)
|
100% |
4416
5.68 IPS |
|
|
Style Transfer (HP)
|
100% |
3860
4.96 IPS |
|
|
Style Transfer (Q)
|
96% |
2878
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1791
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
464
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
523
698.2 IPS |
|
|
Text Classification (HP)
|
100% |
526
701.4 IPS |
|
|
Text Classification (Q)
|
93% |
529
710.5 IPS |
|
|
Machine Translation (SP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
649
11.2 IPS |
