iMac (27-inch Retina Early 2019)
Geekbench AI Score
891
Single Precision Score
109
Half Precision Score
88
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | May 17 2025 03:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-8500 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2772
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
799
9.49 IPS |
|
|
Face Detection (Q)
|
100% |
324
3.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
1306
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1031
7.95 IPS |
|
|
Depth Estimation (Q)
|
85% |
669
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3647
4.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2809
3.61 IPS |
|
|
Style Transfer (Q)
|
96% |
2197
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1518
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
363
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
429
573.1 IPS |
|
|
Text Classification (HP)
|
100% |
432
577.3 IPS |
|
|
Text Classification (Q)
|
93% |
428
574.6 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
98% |
592
10.2 IPS |
