iMac (27-inch Retina Early 2019)
Geekbench AI Score
986
Single Precision Score
128
Half Precision Score
102
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | October 05 2025 09:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
478
89.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2552
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
900
1.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
836
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
549
43.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (Q)
|
100% |
391
4.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
1561
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1377
10.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
837
6.55 IPS |
|
|
Style Transfer (SP)
|
100% |
4161
5.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3741
4.81 IPS |
|
|
Style Transfer (Q)
|
96% |
2808
3.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
458
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.5 IPS |
|
|
Text Classification (HP)
|
100% |
518
690.9 IPS |
|
|
Text Classification (Q)
|
93% |
517
694.1 IPS |
|
|
Machine Translation (SP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
98% |
678
11.7 IPS |
