iMac (24-inch Mid 2021)
Geekbench AI Score
3163
Single Precision Score
15934
Half Precision Score
15597
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 05:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
6331
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5997
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9643
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9965
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69555
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67100
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
99% |
7286
579.6 IPS |
|
|
Object Detection (Q)
|
91% |
6885
550.2 IPS |
|
|
Face Detection (SP)
|
100% |
2957
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
16668
198.0 IPS |
|
|
Face Detection (Q)
|
100% |
15160
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5582
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
48434
373.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
48774
381.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16904
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122228
157.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115323
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23664
873.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24262
895.9 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3603
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3713
64.2 IPS |
