iMac (24-inch Mid 2021)
Geekbench AI Score
3230
Single Precision Score
16826
Half Precision Score
16498
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | RodKagastopoulos |
| Upload Date | November 09 2024 04:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | iMac (24-inch Mid 2021) |
| Model ID | iMac21,1 |
| Motherboard | iMac21,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
6443
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6082
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9722
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10082
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69553
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66079
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7528
598.8 IPS |
|
|
Object Detection (Q)
|
91% |
6889
550.5 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
16955
201.5 IPS |
|
|
Face Detection (Q)
|
100% |
15752
187.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5784
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
49070
378.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
49416
386.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16917
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121723
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114909
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3776
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24035
887.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24998
923.1 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4146
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5497
94.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5848
101.1 IPS |
