iMac (27-inch Retina Early 2019)
Geekbench AI Score
1010
Single Precision Score
849
Half Precision Score
660
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AVX2
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 17 |
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% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
99% |
388
72.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
100% |
346
5.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
3297
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2844
3.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
2035
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
521
41.4 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
92% |
240
19.2 IPS |
|
|
Face Detection (SP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (Q)
|
100% |
374
4.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
1558
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1254
9.66 IPS |
|
|
Depth Estimation (Q)
|
97% |
946
7.31 IPS |
|
|
Style Transfer (SP)
|
100% |
4203
5.40 IPS |
|
|
Style Transfer (HP)
|
100% |
4482
5.76 IPS |
|
|
Style Transfer (Q)
|
100% |
4444
5.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
429
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
532
709.7 IPS |
|
|
Text Classification (HP)
|
100% |
532
709.9 IPS |
|
|
Text Classification (Q)
|
93% |
531
712.2 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
675
11.7 IPS |
