iMac (27-inch Retina Early 2019)
Geekbench AI Score
1943
Single Precision Score
2555
Half Precision Score
618
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | crishifi |
| Upload Date | September 22 2024 08:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 48 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 128.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1252
232.8 IPS |
|
|
Image Classification (HP)
|
100% |
1619
301.1 IPS |
|
|
Image Classification (Q)
|
96% |
75
14.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
129
2.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
17946
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20136
23.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
1487
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
2019
160.1 IPS |
|
|
Object Detection (Q)
|
92% |
74
5.91 IPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6982
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
130
1.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
9187
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10622
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6350
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32629
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37561
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
50773
65.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4974
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4411
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
137
183.3 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.5 IPS |
|
|
Text Classification (Q)
|
93% |
125
167.7 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
98% |
331
5.72 IPS |
