iMac (24-inch Mid 2021)
Geekbench AI Score
3195
Single Precision Score
5401
Half Precision Score
4416
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | andreasphh |
| Upload Date | October 12 2025 04:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1405
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.3 IPS |
|
|
Image Classification (Q)
|
96% |
1584
295.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2550
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14171
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12200
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2389
190.2 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
5300
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
3107
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5644
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10393
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7360
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16913
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26954
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22380
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3517
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4001
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4479
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4472
77.3 IPS |
