iMac (27-inch Retina Early 2019)
Geekbench AI Score
729
Single Precision Score
585
Half Precision Score
421
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | KipR |
| Upload Date | September 19 2024 11:31 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
400
74.5 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
96% |
190
35.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
263
4.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
1997
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
679
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
92% |
224
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
843
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
663
7.87 IPS |
|
|
Face Detection (Q)
|
100% |
322
3.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
1288
9.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.57 IPS |
|
|
Depth Estimation (Q)
|
85% |
725
5.67 IPS |
|
|
Style Transfer (SP)
|
100% |
2588
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2361
3.03 IPS |
|
|
Style Transfer (Q)
|
96% |
1876
2.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
324
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
394
526.5 IPS |
|
|
Text Classification (HP)
|
100% |
397
530.4 IPS |
|
|
Text Classification (Q)
|
93% |
394
528.7 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (Q)
|
98% |
415
7.18 IPS |
