iMac20,2
Geekbench AI Score
1073
Single Precision Score
819
Half Precision Score
658
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| Upload Date | December 26 2024 12:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10910 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMac20,2 |
| Model ID | iMac20,2 |
| Motherboard | Apple Inc. Mac-AF89B6D9451A490B iMac20,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10910 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
99% |
391
72.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
100% |
496
8.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
2856
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1038
1.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
909
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
92% |
254
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
100% |
397
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1711
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
1510
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4296
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3963
5.09 IPS |
|
|
Style Transfer (Q)
|
100% |
3910
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
463
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
487
649.7 IPS |
|
|
Text Classification (HP)
|
100% |
487
650.5 IPS |
|
|
Text Classification (Q)
|
93% |
484
650.1 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
654
11.3 IPS |
