iMac20,2
Geekbench AI Score
931
Single Precision Score
701
Half Precision Score
455
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | i_am_taikun |
| Upload Date | March 13 2025 07:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10910 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
469
87.2 IPS |
|
|
Image Classification (HP)
|
100% |
346
64.3 IPS |
|
|
Image Classification (Q)
|
96% |
176
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
277
4.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
2758
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
892
1.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
781
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
92% |
208
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (Q)
|
100% |
320
3.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1528
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
10.00 IPS |
|
|
Depth Estimation (Q)
|
85% |
729
5.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3795
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3398
4.37 IPS |
|
|
Style Transfer (Q)
|
96% |
2467
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1548
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
387
516.5 IPS |
|
|
Text Classification (HP)
|
100% |
386
515.5 IPS |
|
|
Text Classification (Q)
|
93% |
383
514.0 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (Q)
|
98% |
556
9.61 IPS |
