iMac (27-inch Retina Early 2019)
Geekbench AI Score
1008
Single Precision Score
125
Half Precision Score
100
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | Prutsky |
| Upload Date | June 16 2025 09:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
510
94.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
919
1.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
802
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (Q)
|
100% |
382
4.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
1546
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1335
10.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
819
6.40 IPS |
|
|
Style Transfer (SP)
|
100% |
4115
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3678
4.73 IPS |
|
|
Style Transfer (Q)
|
96% |
2785
3.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
749
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.4 IPS |
|
|
Text Classification (HP)
|
100% |
516
688.4 IPS |
|
|
Text Classification (Q)
|
93% |
519
696.3 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
648
11.2 IPS |
