iMac (27-inch Retina Early 2019)
Geekbench AI Score
3474
Single Precision Score
3733
Half Precision Score
449
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | September 07 2024 09:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX Vega 56 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2672
496.9 IPS |
|
|
Image Classification (HP)
|
100% |
2787
518.2 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
259
4.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
17445
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18873
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2708
3.17 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (Q)
|
92% |
161
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
7402
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
8303
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
265
3.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
13227
101.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15736
121.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
111.2 IPS |
|
|
Style Transfer (SP)
|
100% |
57655
74.1 IPS |
|
|
Style Transfer (HP)
|
100% |
65300
83.9 IPS |
|
|
Style Transfer (Q)
|
96% |
80567
104.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7292
269.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9191
339.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9081
335.3 IPS |
|
|
Text Classification (SP)
|
100% |
388
517.7 IPS |
|
|
Text Classification (HP)
|
100% |
383
510.9 IPS |
|
|
Text Classification (Q)
|
93% |
331
444.8 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (Q)
|
98% |
302
5.21 IPS |
