iMac (27-inch Retina Early 2019)
Geekbench AI Score
1035
Single Precision Score
786
Half Precision Score
533
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | fug-mann |
| Upload Date | March 08 2025 09:12 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.4 IPS |
|
|
Image Classification (Q)
|
96% |
218
40.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.92 IPS |
|
|
Image Segmentation (Q)
|
99% |
336
5.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
838
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (Q)
|
92% |
250
20.0 IPS |
|
|
Face Detection (SP)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.8 IPS |
|
|
Face Detection (Q)
|
100% |
394
4.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1587
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1394
10.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
858
6.71 IPS |
|
|
Style Transfer (SP)
|
100% |
4118
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3753
4.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2825
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.2 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.1 IPS |
|
|
Text Classification (Q)
|
93% |
471
631.7 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
98% |
583
10.1 IPS |
