iMac (27-inch Retina Early 2019)
Geekbench AI Score
1009
Single Precision Score
839
Half Precision Score
657
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AVX2
Result Information
| Upload Date | August 11 2024 10:50 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
99% |
388
72.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.60 IPS |
|
|
Image Segmentation (Q)
|
100% |
347
5.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
3225
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2832
3.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
2030
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (Q)
|
92% |
240
19.2 IPS |
|
|
Face Detection (SP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
843
10.0 IPS |
|
|
Face Detection (Q)
|
100% |
371
4.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
1530
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1231
9.48 IPS |
|
|
Depth Estimation (Q)
|
97% |
941
7.27 IPS |
|
|
Style Transfer (SP)
|
100% |
4168
5.36 IPS |
|
|
Style Transfer (HP)
|
100% |
4427
5.69 IPS |
|
|
Style Transfer (Q)
|
100% |
4437
5.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
412
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
546
729.2 IPS |
|
|
Text Classification (HP)
|
100% |
528
705.2 IPS |
|
|
Text Classification (Q)
|
93% |
531
712.2 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
98% |
675
11.7 IPS |
