iMac (27-inch Retina Early 2019)
Geekbench AI Score
1010
Single Precision Score
125
Half Precision Score
101
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | 2muchpower |
| Upload Date | November 30 2025 10:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
520
96.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3065
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
945
1.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
839
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
100% |
382
4.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
1541
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1320
10.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
829
6.49 IPS |
|
|
Style Transfer (SP)
|
100% |
4206
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3746
4.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2822
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
511
681.7 IPS |
|
|
Text Classification (HP)
|
100% |
515
686.7 IPS |
|
|
Text Classification (Q)
|
93% |
518
695.2 IPS |
|
|
Machine Translation (SP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
621
10.7 IPS |
