iMac (27-inch Retina Early 2019)
Geekbench AI Score
1151
Single Precision Score
869
Half Precision Score
693
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | Tom01 |
| Upload Date | January 18 2025 08:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Acidanthera 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 | 4000 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
590
109.6 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
434
81.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (Q)
|
100% |
535
8.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
3434
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1040
1.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
909
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (Q)
|
92% |
267
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (Q)
|
100% |
417
4.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
1705
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
1511
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4335
5.57 IPS |
|
|
Style Transfer (HP)
|
100% |
4076
5.24 IPS |
|
|
Style Transfer (Q)
|
100% |
4083
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
487
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
520
694.7 IPS |
|
|
Text Classification (HP)
|
100% |
510
680.9 IPS |
|
|
Text Classification (Q)
|
93% |
507
680.9 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
714
12.3 IPS |
