iMac (24-inch Mid 2021)
Geekbench AI Score
3211
Single Precision Score
15999
Half Precision Score
15622
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 18 2025 01:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
6437
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6030
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9709
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10023
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
69115
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66348
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7224
574.6 IPS |
|
|
Object Detection (Q)
|
91% |
6685
534.2 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
16869
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
15402
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48253
371.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
48598
379.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16615
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
122315
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115601
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3714
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23691
874.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24252
895.5 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4077
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2563
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3777
65.3 IPS |
