Mac15,12
Geekbench AI Score
7542
Single Precision Score
8935
Half Precision Score
8184
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 08:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4323
803.9 IPS |
|
|
Image Classification (HP)
|
100% |
4699
873.8 IPS |
|
|
Image Classification (Q)
|
97% |
4044
754.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4362
70.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5981
97.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6324
102.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25098
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26620
31.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25339
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4351
345.2 IPS |
|
|
Object Detection (HP)
|
100% |
4883
387.3 IPS |
|
|
Object Detection (Q)
|
91% |
4155
332.0 IPS |
|
|
Face Detection (SP)
|
100% |
11841
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
15013
178.4 IPS |
|
|
Face Detection (Q)
|
100% |
10964
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18575
143.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20530
158.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17473
136.6 IPS |
|
|
Style Transfer (SP)
|
100% |
52038
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60560
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56745
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11029
407.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11867
438.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9478
350.0 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5258
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5178
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
939
16.2 IPS |
