iMac (27-inch Retina Early 2019)
Geekbench AI Score
442
Single Precision Score
70
Half Precision Score
57
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | lpessoa |
| Upload Date | June 18 2025 03:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8600 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Acidanthera Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1594
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
325
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (Q)
|
100% |
225
2.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
660
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
478
3.68 IPS |
|
|
Depth Estimation (Q)
|
85% |
340
2.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1840
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1170
1.50 IPS |
|
|
Style Transfer (Q)
|
96% |
1043
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
777
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
270
9.96 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
108
3.99 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.3 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.1 IPS |
|
|
Text Classification (Q)
|
93% |
399
535.1 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
98% |
355
6.13 IPS |
