iMac (24-inch, 2023)
Geekbench AI Score
4010
Single Precision Score
29894
Half Precision Score
33624
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | forcetrainer |
| Upload Date | January 15 2025 02:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,5 |
| Motherboard | Mac15,5 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
16222
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
19651
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20551
333.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24912
403.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8302
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
119665
139.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
118287
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
18035
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20173
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
36821
437.5 IPS |
|
|
Face Detection (Q)
|
100% |
47715
567.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6963
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96266
741.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
120453
941.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21729
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225599
290.0 IPS |
|
|
Style Transfer (Q)
|
96% |
219846
283.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46980
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56708
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4986
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4945
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4463
77.1 IPS |
