iMac (27-inch Retina Early 2019)
Geekbench AI Score
1689
Single Precision Score
1627
Half Precision Score
737
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | fug-mann |
| Upload Date | March 08 2025 10:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 48 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1035
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.5 IPS |
|
|
Image Classification (Q)
|
96% |
151
28.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
255
4.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
7848
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6906
8.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
2335
2.74 IPS |
|
|
Object Detection (SP)
|
100% |
925
73.4 IPS |
|
|
Object Detection (HP)
|
100% |
897
71.2 IPS |
|
|
Object Detection (Q)
|
92% |
141
11.3 IPS |
|
|
Face Detection (SP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3877
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
277
3.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
3903
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3793
29.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3633
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14221
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13407
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
17337
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2323
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2167
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
254
338.5 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.4 IPS |
|
|
Text Classification (Q)
|
93% |
242
325.2 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (Q)
|
98% |
412
7.12 IPS |
