iMac (27-inch Retina Early 2019)
Geekbench AI Score
4490
Single Precision Score
4553
Half Precision Score
1274
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | sw0000 |
| Upload Date | February 09 2025 08:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 48 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 13 |
| 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% |
3179
591.3 IPS |
|
|
Image Classification (HP)
|
100% |
3289
611.6 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
262
4.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
27478
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26022
30.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3203
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
2994
237.5 IPS |
|
|
Object Detection (HP)
|
100% |
3026
240.0 IPS |
|
|
Object Detection (Q)
|
92% |
143
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
9228
109.6 IPS |
|
|
Face Detection (HP)
|
100% |
10525
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
284
3.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
13517
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13535
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12526
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50286
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48768
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
63900
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7402
273.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8201
302.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7490
276.6 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.0 IPS |
|
|
Text Classification (HP)
|
100% |
483
644.9 IPS |
|
|
Text Classification (Q)
|
93% |
394
528.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1019
17.6 IPS |
